86 computer-engineering "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in United Arab Emirates
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support a multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates. Working alongside researchers from NYUAD and
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biological sample and data collection, perform lab-based multi-omics experiments, and conduct computational analyses using statistical genetics. Additionally, the role involves maintaining lab safety and data
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Description The Academic Enrichment Program at NYU Abu Dhabi is an academic program designed to help prepare Emirati students to succeed as fully matriculated students in a liberal arts and
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program of the PI is to uncover the nature of accretion and relativistic jets onto black holes and neutron stars, and understand the connections between accretion and ejection. The processes involved in
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. Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Strong programming skills. Experience with machine learning frameworks and backend systems. Familiarity
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computational skills, and a background in developmental psychology or neuroscience. We are particularly interested in candidates with experience and interest in the Arabic language research, child development
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Description The Center for Brain and Health (CBH) (https://brainandhealth.org/ ) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related
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Economics, Engineering, Computer Science, and Political Science are encouraged. The post-doctoral associate will be hosted in the Social Science Division, near the economics faculty, and can be affiliated
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, with the possibility of renewal. Requirements: a Bachelor’s degree in Mathematics or computer science with evidence of strong mathematical and computational skills The terms of employment are very
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. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM