102 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in France
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often struggle with domain shift, limited generalization, and the gap between simulation and deployment. These challenges motivate the development of advanced spatio-temporal learning frameworks that can
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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]. The successful candidate will teach courses on the politics and/or policy of ecological transition and introductory courses in political science (public policy, comparative politics). Annual duties comprise
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Learning within the Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the dynamic organisational context of a growing, globally connected research
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multicultural context. The person hired on this position must be proficient in English and either French or German. The University encourages its staff to learn the other language and provides access to language
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The Postdoctoral researcher will be working in the Institute of Teaching and Learning
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, transformation groups, or smooth dynamical systems Outstanding research record, relative to career stage, in a related domain Ability to teach in English or French We offer Multilingual and international character
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analysis. Candidates with partial experience in these areas but a strong motivation to learn are also encouraged to apply. Proficiency in R and Bash is required, but advanced training will be offered
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transdisciplinary research at the interface between science and society are therefore desirable. The ability to publish and teach in German and English, as well as in a disciplinary and interdisciplinary manner, is
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented