94 parallel-computing-numerical-methods Postdoctoral positions at Stanford University
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techniques. In parallel, we are also looking for postdocs interested in developing high-throughput screens for single-domain antibodies, called nanobodies, that perturb intracellular biology directly at the
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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Postdoctoral (E3) Fellowship Program trains the next generation of scholars to conduct research toward equitable, impactful, and sustainable early childhood care and education systems. Why the E3 fellowship
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these methods as an important addition to the Biomedical Informatics’ body-of-knowledge, with the purpose of improving clinical applications and enhancing medical care. Required Qualifications: A PhD in
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disciplines and mentors Stanford Departments and Centers: Med: Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend. $75,000+ per
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with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
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of the selected candidate, budget availability, and internal equity. Pay Range: $80,000-95,000 The Alsentzer Lab at Stanford is seeking a postdoctoral fellow to advance trustworthy, deployable AI methods
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) provide advanced statistics and research methods, (6) involve grantsmanship skills, and (7) prepare for applying for and securing academic positions in clinical pain research. Lastly, the program will
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, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis. Expertise in computational
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford