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Field
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Research (BMIR) Postdoc Appointment Term: One year fellowship, renewable up to 5 years Appointment Start Date: ASAP Group or Departmental Website: http://boussard-lab.stanford.edu/(link is external) How
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 06/25/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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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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. The Lu Lab maintains active collaborations across Stanford Medicine, engineering, pathology, oncology, and surgery. Postdocs in the Lu Lab are supported in developing an independent scientific identity
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Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural paradigms in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 01/17/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research
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) Postdoc Appointment Term: 1–2 years, renewable Appointment Start Date: September 1, 2026 or ASAP Group or Departmental Website: https://computationalmedicine.stanford.edu(link is external) How to Submit
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03.02.2023, Academic staff Postdoc Position (m/f/d, TV-L E 12 position, for 15 months, extension possible depending on funding) in “Surface Chemical Physics and Molecular Nanoscience” at Technical
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data