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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 | about 3 hours 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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modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
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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
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to the position, and intentions and visions for the position are stated. A current curriculum vitae (e.g. using the EU model). Clearly stating your educational background, experience, techniques, language skills
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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Directorate (ESTD) at ORNL is currently seeking to fill a position for a Postdoctoral Research Associate. This role entails contributing to MEERA group’s mission of disseminating knowledge on energy, carbon
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental