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Pediatrics Postdoc Appointment Term: 2 year Appointment Start Date: Open position How to Submit Application Materials: https://forms.gle/xuUxLuwf4cTcBvWs9(link is external) Does this position pay above the
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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral scholar will include aiding the research
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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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: 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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to appointment start date We welcome candidates with deep expertise in one or more relevant areas, and a strong desire to learn across disciplines: Computational Biology: Spatial/single-cell omics, bioinformatics
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Postdoc Appointment Term: The initial appointment is 9–12 months (typically 12 months); the second and subsequent years are awarded upon demonstrating satisfactory progress in the first year and assuming
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
), expertise in computational modeling (such as Molecular Dynamics, virtual screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication
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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