87 formal-verification-computer-science Postdoctoral positions at Stanford University
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, we invite scientists with a strong background in physics, computational neuroscience, engineering, applied math, systems biology, or other relevant quantitative fields. Previous experience in
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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: Pathology Biomedical Informatics Biomedical Data Sciences Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please
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social science or related field Formal research training and experience during doctoral studies Ability to work under deadlines with guidance and feedback Excellent organizational skills and demonstrated
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Posted on Thu, 11/27/2025 - 22:30 Important Info Deprecated / Faculty Sponsor (Last, First Name): Hernandez-Nunez, Luis Stanford Departments and Centers: Biology Postdoc Appointment Term: Postdoc
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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., mechanical engineering, materials science, chemical engineering, electrical engineering, environmental engineering, computer science). About the group: Group alumni and their current positions (link is
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic
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therapeutics. We are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of protein biochemistry, engineering, and
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are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of synthetic genomics and synthetic biology, as