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Posted on Tue, 03/03/2026 - 15:13 Important Info Faculty Sponsor First name: Sheri Faculty Sponsor Last Name: Krams Stanford Departments and Centers: Microbiology and Immunology Postdoc Appointment
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Aug 2026 - 23:59 (Europe/Brussels) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer
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to fundamental biological problems. The postdoc to be recruited to join the Machine Learning for Integrative genomics team at the Institut Pasteur as part of the ERC Starting Grant MULTIview-CELL, will be working
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research centers, institutes, faculty, please visit https://research.shanghai.nyu.edu/ . Postdoctoral Fellowship Program Details » Awards NYU Shanghai awards up to twelve fellowships each year. Full-time
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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from This Employer https://main.hercjobs.org/jobs/22072809/postdoc-theoretical-neuroscience-helen-wills-neuroscience-institute Return to Search Results
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 12 hours ago
access helps us provide an enriching learning environment for students, faculty and staff interested in the marine sciences. College Center for Marine Science - 306 College College/School Information
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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consideration will be made to candidates with experience in automation or machine learning. The postdoc will join a group which is focused on pioneering applications of modern machine learning methods, FAIR data