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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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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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(E13 TV-L, 100%, starting 1 April 2026 or as agreed) 22.12.2025, Academic staff The Professorship “Algorithmic Governance and Public Policy” (Prof. Daria Gritsenko), invites applications for a
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working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems
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algorithmes existants d'inversion de la GPP. A travers la température de surface, les observations TIR à haute résolution spatiale permettent de restituer les effets du stress hydrique des plantes par le biais
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· Computer Science (System, Computing Theory, Algorithms) · Rank: Associate professor or Assistant professor 2. Energy AI · Artificial Intelligence, Data Science · Rank: Associate professor or Assistant professor 3
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files for immediate access to your resume, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition #108558 A cover letter and resume are required
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas
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Number AE2026-0029 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0029.pdf CALL FOR GRANT