310 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions in France
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Your Privacy When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually...
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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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, 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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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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, with a possible extension, and be part of the IBS/IRIG Institute! The position is available to investigate the enzymatic chemistry orchestrated in the microbial anaerobic carbon cycling. The offer is
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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),...