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@nyu.edu ). The terms of employment are very competitive and include housing and educational subsidies for children. Applications are being accepted immediately, and candidates will be considered until
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Description The Energy and Propulsion Laboratory (https://wp.nyu.edu/jryu ) in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Postdoctoral Associate or Associate
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and tools. The lab website is http://www.camel-lab.com/ . Google Scholar of the lab is at http://scholar.camel-lab.com/ . The position will target the rank of Post-Doctoral Associate (within less than 5
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
or related fields, with no more than five years post-receipt of PhD. The appointment is for two years, with the possibility of renewal. The terms of employment are very competitive and include housing and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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establishment in 2014, the CAMeL Lab has produced over 200 publications and 20 language resources and tools. The lab website is http://www.camel-lab.com/ . Google Scholar of the lab is at http://scholar.camel
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establishment in 2014, the CAMeL Lab has produced over 200 publications and 20 language resources and tools. The lab website is http://www.camel-lab.com/ . Google Scholar of the lab is at http://scholar.camel
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
two years, with the possibility of renewal. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and
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geometry, or mathematical physics are encouraged to apply. Terms of employment include competitive salary and benefits. Research in Professor Hisham Sati’s group focuses on proper formulations of physical
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health