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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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analytical and/or computational facilities. The successful applicant will develop an active and outstanding externally funded research program, advise student and postdoc research, and teach classes
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appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoc in Children's Language and Learning in Everyday Environments Advisors: Monica Ellwood Lowe, Ph.D., Meg Cychosz, Ph.D
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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Posted on Tue, 08/04/2026 - 10:36 Important Info Faculty Sponsor First name: Emmanuel Faculty Sponsor Last Name: Mignot Stanford Departments and Centers: Psychiatry Postdoc Appointment Term: 2 years
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Nutrition Postdoc Appointment Term: Fixed term for one (1) year with opportunity for renewal Appointment Start Date: ASAP Group or Departmental Website: https://colmanlab.stanford.edu/(link is external) How
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engineering and clinical physiology. Projects may involve signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, time-series analysis, machine learning