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Field
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there. USM makes it possible to replace traditional heuristics with AI-based techniques for memory management. The objective of this project is to explore the use of AI within USM and to investigate
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
the objective of simulating the complete ECT problem, 2 main challenges have to be faced, and will be investigated during the post-doc. First, the 3D meshing challenge. The difficulties include embedded
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additional modification. This phenomenon gives rise to out-of-plane ferroelectric domains. The goal of this postdoctoral position is to optically detect, track, and ultimately control the ferroelectric state
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of the hydrogeological functioning of tropical volcanic aquifers. The main objective is to characterize recharge, flow, and interaction processes among aquifers, rivers, and submarine freshwater discharges in complex
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translate innovative technologies into concrete products. Objectives : Based on impedance spectroscopy, the postdoc will aim to develop new BioMEMS devices to identify the best active drugs (and their
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research problems in chemistry (ANR TcPredictor project) and to the study of materials under pressure, in particular superconducting hydrides; implementation of a multi-objective Tc-energy approach
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Objective 1: The goal is to develop a medical device incorporating
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retardants may be incorporated to tailor the material properties. Achieving a high carbon yield and optimising the resin processing will be key objectives of this study. This post-doctoral position is part of
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. The main objective will be to functionalize the surface of these 3D metal parts, obtained by additive manufacturing, with a coating based on metal oxide nanoparticles. This coating must have a dual
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(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop