79 parallel-and-distributed-computing-phd Postdoctoral positions at Stanford University
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and
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Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a
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federally funded, interdisciplinary research program focused on improving healthcare delivery by studying and intervening in the human systems that support it. Based in the HEAL and Kim Labs at Stanford
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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on manuscripts, presentations, and research proposals Required Qualifications: PhD in psychology, neuroscience, biostatistics, computer science, or a related field. Strong interpersonal and technical skills
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competitive funding if interested. Maintain meticulous research records and support operational/reporting responsibilities associated with clinical research. Required Qualifications: A PhD in computational
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postdoctoral fellowships to start summer/fall 2026 for a one- or two-year appointment. The King Center’s Postdoctoral Fellows Program is intended for promising new PhD recipients—coming from fields such as