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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Humanities, Education and Social
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Department of Life Sciences and Medicine (DLSM) is
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Research axis of the 3IA: AI for Computional Biology and Bio-inspired AI The laboratory Benoît Miramond is Full Professor in Electrical Engineering at LEAT laboratory from University Côte d’Azur
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Description of the offer : Two-dimensional materials and van der Waals heterostructures offer unprecedented opportunities to engineer electronic and spin-dependent properties through proximity effects. The main goals of the project are to quantify spin-orbit torques and spin-charge...
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, stat, 1050:1, 2014. - Jiang, Z., Zheng, Y., Tan, H., Tang, B., and Zhou, H, Variational deep embedding: An unsupervised and generative approach to clustering, In International Joint Conferences
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techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their spatial resolution is limited by the light diffraction phenomena and it is
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We are seeking a highly motivated postdoctoral researcher with the following qualifications: • PhD in Mathematics, Computer Science, or a related field. • Solid background in optimization and/or
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this technology for capturing and processing the pulse of a city. In particular, in many applications, DAS suffers from the multi-source aliasing problem and low-frequency noise, especially in noisy environments
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machine learning or theoretical biophysics or computer science Conditions. Postdoc position funded by Centre Inria at Université Côte d’Azur, France. The position is located in Sophia-Antipolis, French
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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 in the training data and can naturally arrive during deployment (i.e., a distribution shift),...