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Field
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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, PhD are co-Directors of the CNS Lab, and Casey Burrows, PhD is the Lab Director of Clinical Training. We are seeking postdocs to join our expanding research team of cognitive neuroscientists
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Postdoc Appointment Term: Rolling Applications Group or Departmental Website: https://med.stanford.edu/pain/medical-training/postdoc-fellowship.html(link is external) How to Submit Application Materials: We
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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models
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and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine learning to derive principled models of cortical computation. Our newly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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: Medicine, Cardiovascular Medicine Postdoc Appointment Term: One year (with option to reappoint) Appointment Start Date: As soon as possible Group or Departmental Website: https://ashleylab.stanford.edu/(link
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Medicine Postdoc Appointment Term: One year with possibility of extension Appointment Start Date: July 1, 2026 Group or Departmental Website: http://rosserlab.stanford.edu(link is external) http
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Centers: Medicine, Gastroenterology and Hepatology Postdoc Appointment Term: 1 year minimum Appointment Start Date: Some flexibility, but likely July 1 2026 Group or Departmental Website: https
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, and those with experience analyzing biobank data and/or expertise in machine learning will be prioritized. Candidates who demonstrate readiness to define and lead new research projects are highly