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solutions for problems both local and global. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related
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interdisciplinary areas including but not limited to Computer Science, Mathematics, Linguistics, Politics, and Psychology. We welcome researchers across a wide range of domains who will contribute to the creative
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the fields of Biology, Evolutionary Genetics, Evolutionary Ecology, Computational Biology, Veterinary Sciences or related field(s), and no more than two years of postgraduate experience. Experience in
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an offer. The ideal candidate will hold a PhD, have prior research experience in any area of field, molecular, and computational biology, and a track record of peer-reviewed publications. Areas of interest
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innovations, and connect their work to the broader community. This unique program is open to all current PhD students at Tandon School of Engineering who will defend their dissertations by September 1, 2026
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, information science, urban science or a related field. We welcome applicants with recent PhDs and individuals seeking additional postdoctoral training. Candidates will be required to present eligibility to work
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, statisticians, and computational biologists, as well as graduate and undergraduate students. The ideal candidate will have a Bachelor’s degree in Biology, Genetics, Bioinformatics, Evolutionary Biology
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University Tandon School of Engineering The Department of Mechanical and Aerospace Engineering at the NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work with Professor
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of Climate and Environmental Sciences at New York University Abu Dhabi, seeks to recruit a post-doctoral associate with expertise in coral reef monitoring and capacity-building programs across Southeast Asia
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. The aim is to explore oscillators based on transition metal oxides with competing electronic phases (e.g., metal/insulating, magnetic/non-magnetic, etc.) with applications to neuromorphic computing