101 parallel-and-distributed-computing-"Computer-Vision-Center" Postdoctoral positions at Stanford University
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: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling, representational analysis, or
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Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer
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candidate, budget availability, and internal equity. Pay Range: $79,000 - $85,000 We seek a highly motivated computer scientist for a post-doctoral position in our multi-disciplinary health services
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this position? You will sit at the center of a uniquely cross‑disciplinary team and work closely a network of collaborators. • Jan Zimmermann — University of Minnesota • Aaron Batista — University of
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development Programming in Python, R, MATLAB, or related scientific computing environments Reproducible research practices, including version control, high-performance computing, and open science
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Departments and Centers: Molecular and Cellular Physiology Postdoc Appointment Term: Open-ended Appointment Start Date: ASAP Group or Departmental Website: https://hinshawlab.stanford.edu/ (link is
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of first-author publications in reputable peer-reviewed journals Demonstrated self-initiative and motivation, ability to collaborate, organize parallel experimental workflows, and interpret and present
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Departments and Centers: Psychiatry Postdoc Appointment Term: 2 years renewable Appointment Start Date: As soon as possible, but later starting date also considered Group or Departmental Website: https
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FY27 minimum is $79, 056. The Stanford Optima Group is seeking a highly motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract
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is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial data analysis, machine learning and computer vision. The position will be