386 computer "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in United States
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these areas Your profile Excited to bring biology into the agentic era Broad interest across biological domains is a must PhD in computational biology, computer engineering, computer science, (bio
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representative papers led by dry-lab scientists in our lab (listed as first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https
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engage at international conferences, writing journal articles, and assist with mentoring students. More information about the Larsson group can be found at https://larsson-research.de/ . Some
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the Department of Geosciences and Natural Resource Management and the Department of Computer Sciences at the University of Copenhagen, DHI A/S, and GEUS (The Geological Survey of Denmark and
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molecule mass spectrometry (e.g., https://www.nature.com/articles/s41586-025-09969-x, https://www.nature.com/articles/s42256-021-00407-x, https://www.nature.com/articles/s42256-024-00821-x, https
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contact: Dr. Molly Prigge: [email protected] https://medicine.utah.edu/faculty/molly-b-dubray-prigge Dr. Jace King: [email protected] https://healthcare.utah.edu/find-a-doctor/jace-b-king
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computational postdoctoral fellow to lead core deep-learning work across surgical computer vision, multimodal fusion, and clinical translation. Project overview You will advance funded work that
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opportunities to collaborate with faculty and students on externally funded research projects. Unit URL https://www.uidaho.edu/engineering/academics/computer-science Position Qualifications Required Experience
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renewal Appointment Start Date: Flexible, with preference for Summer or Fall 2026 Group or Departmental Website: https://mellab.stanford.edu/ (link is external) https://spoglab.stanford.edu/ (link is
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., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning