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, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/09/15 11:59PM ** Position Description: Apply Position Description Job Opening: Postdoctoral
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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of Plant and Microbial Biology (PMB), led by Interim Head Dr. John Ward, comprises a diverse and integrative group of scientists who study the genetics, ecology, evolution, and molecular biology of plants
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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The Anandasabapathy lab in tissue and tumor immunology is seeking an organized, motivated, creative and enthusiastic scientist with excellent interpersonal and communication skills to join us in
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strategies for eradicate of HIV-1 infection. Personalized HIV cure strategies Further details on the Montaner Laboratory can be viewed on our website: https://www.wistar.org/our-scientists/luis-montaner
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery. The group collaborates closely with computer scientists, astrophysicists and
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, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division