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Your Job In this position, you will be an active part of our AI Consulting Team. Together with our partners, we develop new and innovative applications of Machine Learning. You will connect to
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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Inria, the French national research institute for the digital sciences | Gif-sur-Yvette, Île-de-France | France | 2 days ago
contains a 1,024-point spectrum reflecting the chemical composition of the sample. Using this approach, the project partners https://www.multi-opto-diag.fr/khi-malma-piq/ recently demonstrated that the
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organized into five thematic teams (Vision & Emotion, Body & Space, Language, Memory, and Development & Learning). Its members (more than 60 permanent and 58 temporary staff) conduct research in
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, and physics-informed machine learning open new possibilities for establishing grid foundation models. However, it is still unclear which model structures is most capable and suitable, how well they
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reflects situated positions. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments). Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the
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University. IGE website: https://www.ige-grenoble.fr Activities Analyse and harmonise MOSAiC data to investigate discrepancies between observations and Arctic ozone simulations Use machine learning
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and/or resistance to them in learning and teaching activities, drawing in particular on work in the sociology of uses (Vidal, 2012; Proulx, 2005); Assessing the effects of OER use on academic success
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-of-the-art Pt-Ru will proceed in stages: beginning with foundational machine-learning potentials such as NequIP, MACE, SevenNet, or Orb-V3, followed by progressive validation of predictions via DFT