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Position Description Brookhaven National Laboratory is committed to employee success, and we believe that a comprehensive employee benefits program is an important and meaningful part of
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information
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Sep 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Pharmacology T32 Postdoctoral Training Program Vacancy ID PDS004510 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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will support Prof. Yuping Zeng with the frontier of analog circuit design, implementation and characterization, preferably for neuromorphic computing with emerging devices. Major Responsibilities: Plays
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Position Description Postdoctoral position in AI for Computational and Mathematical Biology–Qiu Lab Position Summary Postdoctoral researcher positions in Artificial Intelligence (AI
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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successful applicant will work under the supervision of and in collaboration with Dan Eisenberg, Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living