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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
Posting Information Posting Details Department Computer Science - 318400 Posting Open Date 09/15/2026 Application Deadline 12/15/2026 Open Until Filled No Position Type Postdoctoral Scholar Position
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The Division of Biomedical Informatics and Data Science within the Department of Health Outcomes and Biomedical
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help in our review. You may upload them on the application under the CV/Resume section. Qualifications: Required Education and Experience Appropriate PhD in Information Science or in a related field. Not
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interdisciplinary teams involving agricultural engineering, mechanical engineering, agronomy, computer science, soil science, and related disciplines. Provide technical guidance and research support to graduate and
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Position Title: Postdoctoral Research Associate in Crop Genetic Resources and Informatics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking
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are also welcome. Requirements Applicants should possess a Ph.D. degree in Virology, Immunology, Microbiology, Pathogen Biology, Bioinformatics, Computational Biology, Mathematics, Computer Science, or a
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes
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engineering Computer science » Programming Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 Nov 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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28 Sep 2026 Job Information Organisation/Company Ecole Normale Supérieure Research Field Neurosciences » Neurophysiology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Oct 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job...
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative