2 Political Science jobs in the United Arab Emirates
Research Associate
Posted 12 days ago
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Job Description
• Plan and conduct research, Develop research protocols, and Compile data for progress reports. • Documents research processes. • Generate high quality data under tight deadlines. • Collaborate with Manufacturing and Quality Control to improve potential process changes in manufacturing and quality control. • Apply technical knowledge of laboratory skills, creative thinking, and aptitude towards instrumentation to troubleshoot issues in manufacturing and quality control. • Develop and validate diagnostic assays like molecular tests. • Optimize existing diagnostic techniques for better sensitivity and specificity. • Perform molecular biology techniques like PCR and qPCR. • Analyze experimental data to identify trends and validate findings. • Prepare detailed reports summarizing results and implications for disease detection.
Requirements
• Postgraduate in life science or similar field. Familiarity with molecular biology and in vitro diagnostics. • A minimum of 1 year of laboratory experience is mandatory. • Molecular biology techniques like PCR and qPCR. • Language: English
About the company
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Research / Post-Doctoral Associate in the Division of Science (Computer Science)
Posted today
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Job Description
Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Arab Emirates Application Deadline 5 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionDescription
The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a Post-Doctoral Associate or a Research Associate to join a lab focused on applied machine learning.
The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience.
The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include:
- Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems
- Graph Theory/Network Science
- Python, and up-to-date machine learning libraries
- Excellent written and verbal communication skills
- Track record of publishing in top tier conferences
For consideration, applicants need to submit a cover letter, curriculum vitae, list of publications (if applicable), a 1-page statement of research interests, and three letters of reference. If you have any questions, please email:
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.
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