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Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, bioengineering, computer science, physics, or a related field Strong scientific curiosity, motivation, and rigor Strong communication
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analyse their data. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the
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set to deliver an ambitious research vision and where you can contribute to the training of PhD and Master’s students. You are excited about opportunities to communicate with international collaborators
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: This position may require work beyond normal office hours and/or work on weekends Qualifications Required Education Appropriate PhD in a related field. Preferred Qualifications Prior experience in computational
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The hiring range for this position is expected to be $78,000 – 83,000 per year A variety of health insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution
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Number req23386 Department Psychology Department Website Link Location Main Campus Address Tucson, AZ USA Position Highlights The Evelyn F. McKnight Brain Institute at the University of Arizona invites
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Inst Risk Mgmt Ins Innov - 633700 Posting Open Date 07/14/2025 Application Deadline 10/12/2025 Open Until Filled No Position Type Postdoctoral Scholar
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will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Chemistry - 318300 Posting Open Date 06/12/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion