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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
-seq, etc) Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/314901 Posting
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Framework Programme? Not funded by a EU programme Reference Number 13/2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doc position available in
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) developing and optimizing fMRI pulse sequences; 3) developing and applying computational methods and machine learning approaches to characterize individual differences in brain representations; 4) contributing
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Application Deadline 6 Apr 2026 - 10:51 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme
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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | 12 days ago
job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description [Background
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) Application Deadline 12 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description: At the University of Vienna, over 10,000 people
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Fixed term contract | Belvaux | 30 Months Are you passionate about
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surface freshwater bodies, evaluating model performance and robustness across different hydrological contexts, and optimizing computational efficiency to ensure low energy and resource consumption