128 software-verification-computer-science Postdoctoral positions at Stanford University
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looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD researchers at Stanford’s Pain
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): Computer Science or Informatics: Proficiency in programming and software development with a habit for robust unit testing. Our group mainly develops software in a Python + SQL environment with use of large language
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T32 Training Program in Pain and Substance Use Disorders is intended to develop postdoctoral trainees’ skills to become independent investigators in the fields of pain, substance abuse disorders, and
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particular, the postdoc will focus on applying reinforcement learning to discover vulnerabilities and failure modes in software systems that support critical infrastructure, in particular AI-based decision
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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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population health research, including but not limited to Epidemiology, Urology, Public Health and Policy, Biostatistics, Computational and Data Sciences, Nursing, Psychology, and Sociology. An interest in
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computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required Application Materials: Curriculum vitae 2
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are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance the development
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cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and emergency
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) (link is external) leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is