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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Physics, Electrical Engineering, Material Science or closely related field in hand
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Posting Information Posting Details Department UNC Inst for the Environment - 635200 Posting Open Date 07/18/2025 Application Deadline 08/18/2025 Open Until Filled No Position Type Postdoctoral
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make a difference in the world! Position Information We are seeking a postdoctoral position focused on the development and deployment of computer vision and intelligent robotic systems through physics
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of China, Sub-projects of the National Science and Technology Support Program, the National Spark Program, and Key R&D programs in Hainan, Guangxi, and Jiangsu provinces, as well as industry-funded
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vacancy for a Postdoctoral Researcher in Law and Artificial Intelligence (m/f/d) The position is full time and for a period of three years. Remuneration is in accordance with the E 13 TV-L collective
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Job Title Postdoctoral Research Associate Agency Texas A&M University Department Chemistry Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description
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Job Title Postdoctoral Research Associate Agency Texas A&M University Department Chemistry Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The postdoctoral associate will be responsible for independently conducting a series of experiments necessary to complete
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We are seeking a Postdoctoral Researcher in Human-AI interaction to join a research group focused on studying learning and decision-making in humans and machine learning systems led by Prof Chris