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20 Feb 2026 Job Information Organisation/Company University of Bergen Department Geophysical Institute and the Bjerknes Centre for Climate Research Research Field Geosciences Physics Environmental
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technologies; - Experience with CI/CD methodologies and technologies Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Proven
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populations and biobanks for risk prediction, genetic discovery, and genomic medicine. Federated and transfer learning for distributed and privacy-preserving data integration. AI and Deep learning approaches
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Medical Center Start Date: Summer/Fall 2026 Overview: The Department of Psychiatry at the University of Vermont Medical Center is seeking a dedicated and motivated Postdoctoral Fellow in Clinical Psychology
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invites applicants for a position as Postdoctoral Fellow in Computational Materials Science at the Faculty of Technology and Science, Department of Mathematics and Physics The position is vacant from August
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about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler
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considerations, with particular emphasis on distributional effects, justice, and participatory methods; Policy analysis at the local, state, and federal levels Key Responsibilities: Collaborate with faculty
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-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control Smart power and energy
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
or not in the context of T2D risk. This is of uttermost importance since rare variants, the ones that are present in small groups or individuals, are broadly distributed in the genome, many overlapping
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control