70 senior-lecturer-distributed-computing Postdoctoral positions at Stanford University
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-cell sequencing is preferred. The lab's research program focuses on gliomas such as glioblastoma and diffuse intrinsic pontine glioma (DIPG) and the microenvironmental determinants of normal and
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the Center's scholarly community. This includes teaching one course, participating in the Center’s events and colloquia, and presenting a public lecture or workshop on their research in progress. teaching one
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Intelligence (HAI) Medicine, Biomedical Informatics Research (BMIR) Postdoc Appointment Term: 1 year with potential to renew Appointment Start Date: June 2026 Group or Departmental Website: https
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analyses of electronic health record (EHR) data. The postdoc will work with Assistant Professor Zachary Butzin-Dozier (Department of Pediatrics, Division of Clinical Informatics, and Department of Medicine
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Date: Start date will be mutually agreed upon between program leaders and the applicant. Group or Departmental Website: https://med.stanford.edu/autismcenter.html (link is external) How to Submit
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these activities, partner with stakeholders, and support programming on campus. Duties: 40% - Project management and coordination. Work with senior SURI members to develop strategic research direction and timelines
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University. Dr. Cheng Peng invites applications for a postdoctoral position supported by a Laboratory Directed Research and Development (LDRD) program. This appointment spans a 2-year timeframe. The
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Scientist Training Enhancement Program (BD-STEP) at VA Palo Alto Health Care System Competitively selected Stanford postdoctoral fellows work with VA Medical Center clinicians and interdisciplinary
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Education Postdoctoral (E3) Fellowship Program trains the next generation of scholars to conduct research toward equitable, impactful, and sustainable early childhood care and education systems. Why the E3
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis