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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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Description The New York University Abu Dhabi Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek
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Description Quantum & Spin Lab in the Chemistry Program within the Division of Science at New York University Abu Dhabi (NYUAD), is seeking a highly motivated and skilled Post-doctoral Associate
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Mathematics, Statistics or Computer Science obtained within the last 5 years. Applications are open immediately and will be reviewed on a rolling basis until the position is filled. The position becomes vacant
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Unmanned Aerial Vehicles (UAVs). RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering to apply. The successful applicant will primarily develop specialized UAVs
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. If you have any questions, please email: Kelly.bradham@nyu.edu . About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program
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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
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, multidisciplinary research environment alongside epidemiologists, geneticists and computational biologists. The PHRC is focused on understanding the factors influencing health outcomes and traits related to the most
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, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing
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, transcriptomics, microbiomics, metabolomics, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying