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Teaching Assistant in Biological Sciences

Job Posting Title: IRC22649        

Job Title: Teaching Assistant in Biological Sciences     

Organization Name: Department of Biological and Environmental Sciences


College/Department Profile         

        

Qatar University Profile:


Qatar University is the premier national institution of higher education with a mission to produce well-rounded graduates with academic knowledge of quality and excellence coupled with a keen spirit of volunteerism and civic responsibility. This is underpinned by committed leadership and an experienced and motivated faculty and staff body. It is one of the top Public universities in Doha, Qatar. It is ranked #224 in QS Global World Rankings 2022. It provides high quality undergraduate and graduate programs that prepare competent graduates, destined to shape the future of Qatar. 


College Profile:


The College of Arts and Sciences (CAS) houses nine departments, covering a wide range of undergraduate and graduate specializations in the Arts and Sciences including English Literature & Linguistics, Arabic Language, Humanities, History, Sociology, Social Work, International Affairs, Mass Communication , Psychology, Policy, Planning & Development, Mathematics, Statistics & Physics, Chemistry, Biological & Environmental Sciences, and Material Sciences. The College offers five Master Programs in Arabic Language & literature, Gulf Studies, Applied Statistics, Environmental Science, Materials Science & Technology, and  two PhD programs in  Biological & Environmental Sciences and Gulf Studies. The College also offers a Program of Arabic for Non-Native Speakers. 


It is worth mentioning that as members of QU, CAS faculty have excellent opportunities to secure intramural and extramural funding for their research ideas. Qatar National Research Fund (QNRF) is major source of research funding, with individual project funding reaching up to $600,000 per project and up to 5 million for exceptional projects. Faculty are also eligible to apply for undergraduate and graduate student research funding programs. As the national and largest University in the country, Qatar University is the recipient of most of QNRF awards, with many research- active faculty members able to win multiple grants.


Department of Biological and Environmental Sciences


The Department of Biological and Environmental Sciences at Qatar University offers two undergraduate programs: B.Sc. in Biological Science and B.Sc. in Environmental Science in addition to two Graduate programs and a Certificate program in Environmental Science. The graduate programs offered by the department are the Master of Science in Environmental Science and the Doctor of Philosophy in Biological and Environmental Sciences.

        

Duties & Responsibilities         

        

The Department of Biological and Environmental Sciences is seeking a highly motivated individual who has a M.Sc. degree in Biological Sciences. The successful candidate is expected to excel in teaching in the practical sessions of courses related to General Biology, Cellular and Molecular Biology, Genetics, and Animal physiology. Successful candidates will be expected to participate in departmental committees and community services. The start date of the position is for Fall 2023.


Duties & Responsibilities:

  


Teach undergraduate course laboratories in the area of expertise such as Introductory Biology, Cellular and Molecular biology, Genetics, Histology, Animal Physiology, and Animal Cell Culture.

Contribute to various committees within and outside of the department.

Other responsibilities as assigned by the Head of Department.

        

Qualifications         

        


A Master (M.Sc.) degree in Biological Sciences or related fields.

A minimum teaching experience of 3 years for M.Sc. degree holders. Teaching experience of the practical parts of General Biology, Cellular and Molecular Biology, Genetics, Animal Physiology, Animal Cell Culture should be at a university level after receiving the highest degree.

Proficient with educational technologies used in the higher education sector. 

Willingness to work with multidisciplinary teams. 

Awareness of working with people from diverse backgrounds.

Excellent written and oral communication skills in English, and Good written and verbal communication skills in Arabic.

        

Required Documents         

        

Academic:


Cover letter.

Current Curriculum Vitae reflecting the following information:

Years of experience after highest degree

Major

Specialization/Concentration

H-index

Citations

Google scholar link

ORCID number

Number of publications published in Q1 journals during the last 5 years

Number of publications published in Q2 journals during the last 5 years

Number of publications published in Q3 journals during the last 5 years

Number of publications published in Q4 journals during the last 5 years

Number of publications published in Non-indexed Journals

Number of published books

Number of published chapter of books

Number of graduate students supervised and the role

Awards

Grants

Role 

Amount

Statement of teaching, research and service philosophy. 

Copy of the highest earned credential (transcript of highest degree if graduated from an institution where course work was completed).

Any additional documentation that is relevant to the job position.

Three referees’ contact information (physical and email addresses as well their telephones contact).

In case of query, please email Head of Department dandelion@qu.edu.qa


       

Benefits         


Academic:


A three-year renewable contract.

Salary is commensurate with experience.

Tax-free salary.

Furnished accommodation in accordance with QU HR policies.

Annual air tickets for faculty member and dependents in accordance with QU HR policies.

Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.

Private health care and health insurance in accordance with QU HR policies.

Annual leave in accordance with QU HR policies.

End-of-contract indemnity.

        

How To Apply         

        


Returning Applicant: Please login to update/edit your saved profile. Use this profile to apply for this position.

New Applicant: You need to setup an account with the QU Recruitment Online System, and complete your personal profile. Once your profile is complete, you may use it to apply for an open position.

 

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Vocational Teacher-IT Multimedia

Job Description 

Applications are invited for Qualified and experienced Vocational Teacher – Multimedia at Diploma or Further Education Level.


Qualifications Required:


Bachelor's degree in Multimedia/Animation/Movie Production/Graphics and Related subjects

Master's degree and/or PhD in discipline or related preferred.

Teaching/Assessor Qualification (PGCE, PTLLS, DTLLS, Cert.Ed.)

Assessor and Internal Verifier awards 

Experience Required:


3 years teaching / training /assessing experience in a reputed vocational, further education or higher education institute.

Familiar with Internal Verification and assessment processes

Experience with HNC/HND/BTEC Curriculum

Industrial experience

ICT for learning skills

GGC or similar location

Additional Requirements


Developing Teaching and Assessment Resources with Curriculum team

Membership of Professional association, Institute or body

English: IELTS 7.0 Academic for non-Native English speakers

Interested candidates must apply through our Web Portal after registering and uploading the updated CV.


https://www.adveti.ac.ae/careers/


Only shortlisted candidates will be contacted for an interview.

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Research Associate

Job Purpose


To provide high quality research support and undertake internationally competitive research aimed at publication thereby contributing to the academic and research mission of the University.

Ability to present research plans and findings in a convincing style, both in oral and written modes of communication.

Key Roles & Responsibilities


Strategic Responsibilities


NA


Operational Responsibilities


Gain familiarity with divers recording and biofeedback devices

Fabricate novel recording wearables for determining real-time emotion granularity

Develop data fusion and coupling algorithms for analysis of biosignals

Data analysis using statistical software

Publications in Q1 journals and conferences

Supervisory Responsibilities


NA


Qualifications


Qualifications & Experience


Required Qualifications


Bachelor/Master


MatLab experience

Skilled in biosignal processing

Familiar with Arduino or Raspberry Pie technology applications

Special interest in:

Affective computing

Emotion granularity

Required Experience


Bachelor, min. (3+) years of Research Assistant experience.

Master, (0) years of relevant research experience

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team (recruitmentteam@ku.ac.ae).


Primary Location: KUK – Khalifa University

Job: Research Associate

Schedule: Regular

Shift: Standard

Job Type: Full-time


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Post-Doctoral Associate in the Division of Science Physics, Dr. Ingyin Zaw

Job Description


Prof. Ingyin Zaw, of the Division of Science (Physics) and the Center of Astro, Particle, and Planetary Physics (CAP3) at New York University Abu Dhabi (NYUAD), seeks to recruit a postdoctoral associate to work in the field of extragalactic astronomy, specifically observations of active galactic nuclei. The successful applicant would be responsible for the analyzing and interpreting the latest multi wavelength (primary radio, X-ray, and optical) observations of these objects, as well as have the opportunity to develop their own projects in this field. In addition to working in a department with a significant number of PhD-level scientists, graduate students and undergraduate students working on a wide array of astronomical projects and have access to data collected by the SDSS-V project and sponsored time on observing facilities (e.g., the Las Cumbres Observatory, Green Bank Observatory, and Very Long Baseline Array).


Applicants must have a PhD in physics, astrophysics, astronomy or related field. Demonstrated experience in reducing radio, X-ray, and/or optical data is strongly preferred, as is experience with python / IDL / C / C++ programming languages. This is a 3 year position with a preferred start date no later than September 2023.


For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Zaw at iz6@nyu.edu.


The terms of employment are very competitive and include housing and educational subsidies for dependent children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for further instructions and information on how to apply. 


About NYUAD


NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.


EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer


UAE Nationals are encouraged to apply.


Equal Employment Opportunity Statement


For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr


NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


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Post-Doctoral Associate in the Division of Science, Mathematics, Prof. Qingtao Chen

Job Description


The Division of Science at New York University Abu Dhabi seeks to appoint two Post-Doctoral Associates, in the research group of Dr. Qingtao Chen. The proposed research will be interdisciplinary on the interactions between topology, geometry and physics. This research position is for two years with a possible extension to a third year.


The candidate must hold a Ph.D. in Mathematics or Physics. Preference will be given to people working on Quantum Invariants of knots/links as well as 3-manifolds (Volume Conjectures, Categorifications of invariants, Quantum Gravity, quantum 6j/10j symbols, topological quantum computing etc), Elliptic Genera/Topological Modular Forms/Elliptic Cohomology and Topology related to Condensed Matter Physics (quantum Hall effect etc). The successful candidate will have freedom in choosing his/her own research topic, but regular communication with the mathematical physics group at NYUAD is expected. NYU Abu Dhabi offers a stimulating research environment led by a distinguished research community. The terms of employment are very competitive. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. However, all the applicants are strongly encouraged to submit the application before Mar. 30th, 2022 for the 1st position starting before July 31, 2022.


To be considered, all applicants must submit a cover letter summarizing research experience and specifying the interests in this position, a Curriculum Vitae (including a list of publications), a statement of research interests and at least 2 letters of recommendation all in PDF format. Inquiries can be directly sent to chenqtao@nyu.edu


About NYUAD


NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYUADs global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.


EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer


UAE Nationals are encouraged to apply.


Equal Employment Opportunity Statement


For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr


NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

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Internship, MS / PhD, PhD, Postdoc and Research Scientist Position

Job Description


This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including


Research Intern

MS/PhD Student

PhD Student

Postdoctoral Fellow 

Research Scientist

This lightweight form is intended as a first point of contact, and should be used instead of sending an email.


Qualifications


Outstanding academic record appropriate to the position you are applying to.

Strong mathematics training and skills

Strong computer science training and skills

Application Instructions


Application documents:


Brief cover letter, explaining your motivation for applying,

Detailed curriculum vitae (including your email address),

Complete transcript of grades from all your university-level studies.

We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is a need for this (e.g., reference letters), and a Zoom interview will be scheduled. 


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Teaching Assistant in Geographic Information System (GIS) and Remote Sensing (RS)

Job Posting Title: IRC22308

        

Job Description 


Qatar University is the premier national institution of higher education with a mission to produce well-rounded graduates with academic knowledge of quality and excellence coupled with  a keen spirit of volunteerism and civic responsibility.  This is underpinned by committed leadership and an experienced and motivated faculty and staff body.


College Profile:


The College of Arts and Sciences (CAS) houses nine departments, covering a wide range of undergraduate specializations in the Arts and Sciences including English Literature and Linguistics, Arabic Language, Mass Communication, History, Sociology, Social Work, Psychology, International Affairs, Policy, Planning and Development, Statistics, Chemistry, Biological Sciences, and Environmental Sciences. The College also houses Master Programs, which are M.Sc. in Environmental Sciences, M.A. in Gulf Studies, M.A. in Arabic Language and Literature, M.Sc. in Materials Science and Technology, and M.Sc. in Applied Statistics. In addition to a PhD in Biological and Environmental Sciences and a PhD in Gulf Studies. Additionally, the College offers a Program of Arabic for Non- Native Speakers. Also, there are two established research centers namely the Center for Sustainable Development and the Gulf Studies Center.


It is worth mentioning that as members of QU, CAS faculty members have excellent opportunities to secure intramural and extramural funding for their research ideas.  Qatar National Research Fund (QNRF) is a major source of research funding, with an individual project funding limit exceeding600,000 $/project and student research funding programs. As the national and largest University in the country, Qatar University is the recipient of most of the QNRF awards, with many research-active faculty members able to win multiple grants.

        

Duties & Responsibilities         

        

Department Profile:


The Department of Humanities at Qatar University, Doha, invites applications for a full time position at the level of Teaching Assistant in GIS and RS to begin August 2022. The position is three years renewable. Primary responsibilities will include developing and teaching classroom-based and online courses in GIS, RS, and geospatial data science with demonstrated teaching excellence and a commitment to scholarship. 


Candidates should be committed to excellence in teaching. Candidates must have a Master’s degree in GIS and RS. The topical areas of interest are broad and include GIS applications in coastal management, petroleum, transportation, and urban and regional planning among others. Preference will be given to candidates who have a track record of excellent publication and possess the potential and willingness to collaborate with faculty within and across departmental divisions. Priority will be given to candidates who fluent in both Arabic and English.


Duties& Responsibilities:


Assist to teach a range of GIS and RS courses

Supervising students at GIS and RS labs.

Assist and collaborate with course instructors as assigned by Department Head

Contribute to the development of new Remote Sensing and GIS courses/programs/research centers.

Assist Department Head in various tasks as assigned.

Monitor the academic performance of undergraduate students.

May be affiliated to Research Centers/Research Units at College level or University level

Competencies: 


Specialized in GIS and RS, and solid knowledge in related discipline at the under graduate level.

Experience in teaching at the undergraduate level.

Expertise in using course management system such as Blackboard

Proficiency in both Arabic Language and English 

        

Qualifications         

        


The candidate should hold a Master’s degree in GIS and RS at an internationally recognized university.

Experience in teaching a wide range of courses in GIS and RS and related disciplines.

Competency and involvement in research.

Fluency in Arabic Language.

Fluency in English language

        

Required Documents         

        

Academic:


Current Curriculum Vitae.

Cover letter.

Teaching, research, and service philosophy.

Three referees’ contact information (physical and email addresses as well their telephones contact).

Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed. However, if no course work was completed, a copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).

Any additional documentation that you feel is relevant to your application  

Benefits         

        

Academic:


A three-year renewable contract.

Salary is commensurate with experience.

Tax-free salary.

Furnished accommodation in accordance with QU HR policies.

Annual air tickets for faculty member and dependents in accordance with QU HR policies.

Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.

Private health care and health insurance in accordance with QU HR policies.

Annual leave in accordance with QU HR policies.

End-of-contract indemnity.        

How To Apply         

        

New Applicant: You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.


Returning Applicant: Please login in QU Recruitment Online website (https://careers.qu.edu.qa) to update/edit your saved profile. Use this profile to apply for this position.

 

 Please email the Head of Department in case of any queries:   aabulibdeh@qu.edu.qa     

        


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Post Doctoral Fellow, Genomics / Cancer Therapeutics

 Job Purpose


To provide high quality research support and undertake internationally competitive research aimed at publication thereby contributing to the academic and research mission of the University.

The postdoctoral fellow will conduct independent studies to achieve the laboratory research objectives. These include, but are not limited to, gene expression programs particularly at single-cell level, functional genomics, identification of novel therapeutic targets in cancer using genome-wide CRISPR-Cas9 screen, and development of novel therapeutic approaches. 

Qualifications


Qualifications & Experience


Required Qualifications


PhD in Cellular and Molecular Biology, Genomics, or a related field.


Required Experience


The ideal candidate should hold a PhD in Cellular and Molecular Biology or Genomics and Bioinformatics fields with extensive experience in computational Biology.

He/She should have experience in cell culture, molecular biology, functional genomics, PCR, qRT-PCR, cloning, western blot, flow cytometry, confocal microscopy.

He/She should have extensive experience in working with mice including establishing mouse xenograft models, and performing various types of cell injection and drug administration. Experience with IVIS imaging system is highly desirable.

Experience in DNA and RNA library construction for Next Generation Sequencing is also desirable but not essential.

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team (recruitmentteam@ku.ac.ae).


Primary Location : KUK – Khalifa University

Job : Post Doctoral Fellow

Schedule : Regular

Shift : Standard

Job Type : Full-time

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Assistant Professor, Mathematical Sciences

Job Description


The United Arab Emirates University invites applications for a new faculty position of Assistant Professor in Data Science. Candidates should hold a Ph.D. in mathematics in relevant fields, such as optimization and the mathematical foundations of data science. Preference will be given to a candidate who has in-depth theoretical and practical knowledge in the areas including but not limited to artificial intelligence, machine learning, and/or natural language process. Candidates are expected to have a strong commitment to teaching excellence at undergraduate and graduate levels. They should have demonstrable research capabilities to develop and sustain an internally, and/or externally funded research program in Mathematics related to Data Science, and publish their research findings in top-tier referred journals. Candidates should also be willing to actively engage in promoting the growth of the UAE University. The Department views this position as a key step towards building UAE University into one of the top universities in the UAE for data science in undergraduate and graduate training, and in the interdisciplinary and applied research that will attract industrial partners. The application package should include a cover letter, a detailed resume, a brief description of teaching philosophy, a list of courses taught, and three recommendation letters including one at least for research and one for teaching. English is the language of instruction and communication. Screening of applications starts immediately and will continue until the position is filled.


Minimum Qualification


Applicants must have an earned doctorate in Mathematics. The ability to teach undergraduate courses related to Data Science is a must. Industrial and professional experience is a plus.


Preferred Qualification


Postdoctoral experience or teaching and research higher education institutions. Strong communication skills in English.


Expected Skills/Rank/Experience  


Special Instructions to Applicant  


Division College of Science - (COS)

Department Mathematical Sciences - (COS)

Job Close Date open until filled

Job Category Academic - Faculty

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Assistant Professor- Nursing

Job Description

Fatima College of Health Sciences (FCHS) was established by the Institute of Applied Technology in 2006, an aim to meet the United Arab Emirate’s growing need for the skilled healthcare professionals.


The college started by offering the Higher Diploma or BSc in the Nursing program and has since then expanded to offer other degree programs in Health Sciences including Radiology & Medical Imaging, Pharmacy, Physiotherapy and the Emergency Health (Paramedic). FCHS has campuses based in Abu Dhabi, Al Ain, Ajman, and Al Dhafra in the UAE. 


We are seeking to appoint an Assistant Professor Nursing (or other ranks subject to experience & publications) to teach Bachelor of Nursing program with the following qualifications and experience:


PhD, Doctorate of Philosophy in Nursing Professional Doctorates are NOT accepted. i.e. Doctorate of Education (DoEd), Doctorate of Business Administration (DBA) etc. Experience teaching at Tertiary level with Publications registered in Scopus or equivalent database or Scholarly Publications Solid knowledge and expertise in field of study Proficiency in Information Technology and Learning Management Systems (LMS) Able to prepare well-structured and balanced teaching materials that are aligned to learning outcomes Able to contribute to Curriculum Development and improvement Aware of current research and scientific knowledge in field of study Knowledge and skills related to environment, health and safety in the workplace Where applicable competency in using lab equipment and in conducting lab sessions Continuous Production of Scientific Material

We offer a tax free salary package with excellent benefits that includes housing allowance, educational allowance for dependent children, annual travel allowance for staff and dependents and medical care. For more information, please visit our website at: http://www.fchs.ac.ae/En/Pages/home.aspx  or http://www.iat.ac.ae


Please note that only shortlisted candidates will be contacted for interview.


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