93 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Stanford University
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conjunction with the Basic Science and Engineering (BASE) Initiative of the Children's Heart Center at Stanford University and the Department of Genetics to work on understanding mechanisms of pulmonary
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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initial direction and community. Required Qualifications: • PhD in urban planning, environmental science, sustainability studies, geography, civil/environmental engineering, public policy, or related
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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. Prevalent TCR clones will undergo reverse engineering to deduce the peptide bound, and this information used to generate MHC tetramers to study the induction of these clones during the anti-tumor response
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with colleagues throughout the Global South and Europe (e.g., Colombia, Brazil, Germany, Italy) to advance basic research and translational science related to the Identity Project – a school-based
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equivalent degree from an epidemiology, biostatistics, data science, computer science, or related programs with an interest in population health measures to apply. The scholar will join a vibrant and growing
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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Posted on Wed, 08/13/2025 - 18:56 Important Info Stanford Departments and Centers: Biomedical Informatics Neurosurgery Epidemiology and Population Health Biomedical Data Sciences Postdoc Appointment
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computational biology — or a strong interest in developing skills across these areas. A collaborative mindset and enthusiasm for both experimental and computational work are essential. The Hynes Lab is located in