125 formal-verification-computer-science Postdoctoral positions at Stanford University
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, psychiatry, developmental psychopathology, neuroimaging research (MRI, fNIRS), engineering, computer science, or related fields. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by
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Prevention Research Center, an interdisciplinary research program on the prevention of chronic disease, is seeking MD, PhD, and other post-doctoral level applicants for research fellowships. Fellows gain
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focused on brain resilience using human iPSC models and multi-omics approaches. This collaborative project will be conducted within the Departments of Pathology and Neurology & Neurological Sciences. About
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, minimal residual disease (MRD) detection, and the multi-omic characterization of various cancer types. Required Qualifications: PhD in related fields such as computational biology, cancer biology, and
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their careers and leadership. To begin in the Fall of 2025, The VMware Women's Leadership Innovation Lab is now accepting applications to a two-year postdoctoral research scholar program. The VMware Women’s
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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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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
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, Computer Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural
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of decarbonized water and energy systems; and 3) supporting the design and enforcement of water-energy-food policies. We seek a new team member who enjoys team-science and engineering and would thrive
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. Ph.D. (ideally completion by Summer 2025) in computer science, statistics, operations research, or related fields. Prior experience working with data, including expertise with computational methods Prior