64 computer-science-postdoctoral "https:" Postdoctoral positions at Stanford University
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Biological and Materials Systems The Cegelski Lab in the Department of Chemistry at Stanford University is recruiting a creative and motivated postdoctoral scholar with expertise in NMR spectroscopy
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postdoctoral fellowships at Stanford, including: Thompson Postdoctoral Fellowship: https://geophysics.stanford.edu/thompson-postdoctoral-fellowship(link is external) Stanford Science Fellowship: https
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of Health Policy and Prof. Margaret Brandeau in Stanford’s Department of Management Science and Engineering seek a highly skilled individual for an outstanding opportunity to work as a full-time postdoctoral
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Application Materials: Research environment The Postdoctoral Scholar will join an interdisciplinary research program spanning high-temperature reacting flows, aerosol science, carbon nanotube synthesis
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for highly motivated postdoctoral candidates with a PhD in bioengineering deep knowledge in computational biology and machine learning. Candidates with a molecular biology or engineering degrees with
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(but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000 - $85,000 Postdoctoral Research Fellow - Computational Neuroscience and
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development support for candidates pursuing independent research careers in precision psychiatry, neuroimaging, computational neuroscience, AI for mental health, and/or multimodal data science. Required
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, Division of Neonatology and the Neonatal Engineering, Signals, and Technology (NEST) Lab are seeking a creative, motivated, and collaborative Postdoctoral Fellow to join our team and conduct research focused
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Qualifications: Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Medical Physics, Mathematics, or a related field. Strong publication record and programming skills. Required Application
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University Department of Emergency Medicine is seeking a postdoctoral fellow to join our research program. We are focused on generating data to inform how best emergency departments can most effectively