30 parallel-computing-numerical-methods Postdoctoral positions at New York University
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protein engineering to investigate regenerative medicine and immunotherapeutics. Expectations Candidates will be responsible for the design and execution of computational and experimental studies to explore
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York University: NYU - NY: Tandon School of Engineering: Computer Science & Engineering The Computer Science and Engineering Department at NYU Tandon School of Engineering is seeking to hire a Post
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Postdoctoral Associate to investigate the neural mechanisms underlying continual learning in humans. The successful candidate will develop computational models examining the tradeoff between task
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into the conditions required to launch jets. The main objective of the research program of the PI is to uncover the nature of relativistic jets and understand the connections between accretion and ejection
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within any of the relevant disciplines of the humanities, social sciences, and computer sciences are welcome to apply. The ideal candidate is a postdoctoral scholar seeking to examine and develop research
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: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jul-25 Location: Brooklyn, NY Categories: Academic/Faculty Internal Number: 170220 POSTDOCTORAL RESEARCHER EMERGE Lab The EMERGE lab at NYU is seeking to hire a postdoc to work on scaling and deploying...
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computation. In compliance with NYC?s Pay Transparency Act, the annual base salary range for this position is $62,500 - $70,000. New York University considers factors such as (but not limited to) the specific
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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 growth of the CDS
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well as market and organization considerations. Education: Ph.D. in machine learning, computer science, engineering, science or related technical discipline. Experience: Expertise in developing and training AI