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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center 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
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(https://healylab.com/ ). Applicants for the Post-Doctoral Associate appointment must have received a Ph.D. in chemistry or related subject or be within a few months from completion, and with no more than
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) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD
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gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with an outstanding academic record. The terms of employment are internationally competitive, and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Science at New York University Abu Dhabi is inviting applications
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models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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at NYUAD are equipped with state-of-the-art facilities for organic synthesis (https://healylab.com/ ). Applicants for the Post-Doctoral Associate appointment must have received a Ph.D. in chemistry or
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PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be
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, bridging the gap between engineering innovation and clinical application. Applicants must have a PhD in an engineering or biomedical-related field. Excellent experimental skills relevant to the project (in