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their work. Qualifications: PhD in Anthropology, Computer Science, Linguistics, Science & Technology Studies, or a related field Strong publication record or demonstrated potential for impactful research
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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://degradationproject.com/ ) and NEXGENNa (http://nexgenna.org/ ) projects and participation in regular relevant FI meetings. Applicants should hold (or be about to obtain) a PhD in Chemistry, Materials Science, or a closely
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://degradationproject.com/ ) and NEXGENNa (http://nexgenna.org/ ) projects and participation in regular relevant FI meetings. Applicants should hold (or be about to obtain) a PhD in Chemistry, Materials Science, or a closely
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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
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for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a motivated and passionate post-doctoral associate to work under the supervision of Dr. Hanan Salam on the : (1
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of two references, and a one-page of research statement (under specific request 1). Skills / Knowledge / Abilities Experience with rodent works, Molecular Cell Biology, biomaterials and biochemistry
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technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
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reports, peer-reviewed publications, and project deliverables. Collaborate with interdisciplinary teams including soil scientists, chemists, and environmental engineers. Supervise MSc or PhD students
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jul-25 Location: Abu Dhabi, UAE Categories: Academic/Faculty Internal Number: 170346 The Division of Science at