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position is available starting March 2026 in the laboratory of Suzanne Chen in the Department of Biology at New York University (New York, NY). The lab is broadly interested in RNA-binding proteins and RNA
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synthetic organic and medicinal chemistry are encouraged to apply. The research is aimed at developing an automated chemical platform for the synthesis and biological evaluation of natural products as leads
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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, New York University is one of only 60 member institutions of the distinguished Association of American Universities. Connections working at New York University More Jobs from This Employer https
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an excellent training environment. The lab is located within the NYU Department of Psychology which, along with the Center for Neural Science and the Center for Data Science, is home to a large research
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Employer https://main.hercjobs.org/jobs/22167044/post-doctoral-associate-in-the-division-of-engineering-x28-electrical-and-computer-engineering-x29-dr-qurrat-ul-ain-nadeem Return to Search Results
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, the candidate's work experience, education/training, key skills, internal peer quality, as well as market and organization considerations. Qualifications: Education: Ph.D. in machine learning, computer science
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Biology is looking for a highly motivated and independent individual towork as a Postdoctoral Associate. This position is based in New York City and the selected candidate will be expected to work onsite as
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Hilal, Director of the Water Research Center and Global Professor of Engineering and Professor Raed Hashaikeh, Professor of Mechanical Engineering. The successful applicant will lead an innovative project
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the Department of Biology at New York University is seeking a Postdoctoral Associate to study axonal mRNA transport and how this unique pathway influences mitochondrial quality control in neurons in the context