99 assistant-professor-computer-science Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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: Neurology and Neurological Sciences Postdoc Appointment Term: 1 year, renewable Appointment Start Date: January 1, 2026 Group or Departmental Website: https://med.stanford.edu/neurology.html (link is external
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the Department of Radiology, Division of Interventional Radiology, at Stanford University is seeking a highly motivated postdoctoral fellow with expertise in biomedical engineering or a related field. The lab
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manuscripts and present at international conferences. • Mentor junior scientists and help shape the intellectual culture of the lab. What We’re Looking For • PhD or equivalent in Neuroscience, Cognitive Science
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decisions are made under pressure, and how technology can support (rather than hinder) patient care. The postdoctoral scholar will use modern data science tools and cloud computing to analyze high-dimensional
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excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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(GEI), a partnership between the National Center for Ecological Analysis and Synthesis (NCEAS) and The NOAA RESTORE Science Program seeks to fill two postdoctoral positions focused on addressing
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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