77 parallel-computing-numerical-methods Postdoctoral positions at Stanford University
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associated with biological membranes, including large peripheral membrane complexes and integral membrane transporters. In parallel with mechanistic structural work, we develop targeted chemical probes
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processing, statistical computation, methods development, data interpretation, literature review and manuscript/grant preparation. Additional Duties:• Supervision of undergraduates, graduate students and new
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Pancreas Program seeks an exceptional Postdoctoral Scholar to lead hypothesis driven mechanistic research focused on how vitamin A signaling and transport regulate inflammation, tissue injury, and recovery
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. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
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Posted on Tue, 09/01/2026 - 16:56 Important Info Faculty Sponsor First name: Tina Faculty Sponsor Last Name: Hernandez-Boussard Stanford Departments and Centers: Medicine, Biomedical Informatics
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, HPLC, ICP-MS, SEM, XRD, or related methods A strong publication record and excellent communication skills Experience in cancer biology, molecular imaging, radiochemistry, or animal studies is a plus but
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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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connections between the lab, classroom, and society. Required Qualifications: Highly motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and
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to candidates with strong training in metabolism or adipose biology, neuroscience, genomics, physiology, molecular biology, computational biology, or a related field, who are eager to build an interdisciplinary
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-disciplinary approach spanning human genetics, computational biology, genomics, genetics, pharmacology, and biochemistry. By integrating human population-scale data with experimentally tractable model systems