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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 16 hours 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
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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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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working
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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
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is located at the Department of Informatics and is hosted jointly by the Digital Security Research Group and the Network and Distributed Systems Research Group. The research groups consist of around 30
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Cornell University, Electrical and Computer Engineering Position ID: Cornell-ECE-POSTDOC [#31375] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853
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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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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 16 hours ago
20 Feb 2026 Job Information Organisation/Company LIP - Laboratório de Instrumentação e Física Experimental de Partículas Department LISBON Research Field Physics Researcher Profile First Stage
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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