123 software-verification-computer-science Postdoctoral positions at Stanford University
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, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research on human trafficking, including supply
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immunologic skin diseases. Candidates are welcome from various interrelated backgrounds, such as epidemiology, computer science, public health, health services research/health policy, and/or biostatistics
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is $76,383. Are you 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
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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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) therapies for melanoma. This position offers a unique opportunity to work at the intersection of cutting-edge cancer immunotherapy and advanced computational biology. Position Overview: • Full-time
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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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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis