949 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs 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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computational reconstruction methods based on AI (deep learning) and/or compressed sensing. The envisioned imaging system will be based on a hybrid open-top light sheet microscope recently implemented in our lab
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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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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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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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-renowned research environment. Our teams are made up of passionate and dedicated experts, providing a framework conducive to learning and collaboration. You will have access to state-of-the-art equipment and
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English and either French or German. The University encourages its staff to learn the other language and provides access to language courses to this end. We offer A pioneering opportunity to build and lead
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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
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colleagues to ensure an integrated and cohesive learning experience. They will be expected to implement a modern histology curriculum using advanced educational technologies, such as virtual histology tools