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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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of competition and predation. This work is based on a case study: the metacommunities of freshwater gastropods in Martinique, which have been monitored for several decades at nearly 200 sites
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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partial and total reduction processes of the films, with or without capping layers; • Performing structural and electronic characterization using X-ray diffraction and synchrotron-based experiments, in
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development of new sensing functionalities based
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activities will consist in: 1. developing steganalysis methods based on incompatibility search (i.e. study the fact that elements of the image are not compatible with natural images). 2. security analysis
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and an international collaborative network. The position will be based at the Laboratoire Ondes et Matière d'Aquitaine (LOMA), Bordeaux, France. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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for developing and optimizing plasma-based functionalization processes for ferrimagnetic nanoparticles. The successful candidate will be responsible for investigating the relationships between plasma parameters
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materials involved in chlorine-based plasma chemistries, as well as the mechanisms enabling selective etching of InGaAlAs over InP. Plasma etching processes will be developed on the LTM 300 mm etching reactor