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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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), led by SNCF. The project aims to develop a methodology and tools for anticipation, spatial optimization, and support of SERMs (Metropolitan Regional Express Services) in French regions. This project is
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group (depending on the profile, materials under pressure, MOF coordination polymer design, multi-objective optimization Tc/HEDM/reactivity, etc.). - Calculating the electronic structures
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epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is
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stability (beam break-up). The Grenoble Laboratory of Subatomic Physics and Cosmology (LPSC) ( http://lpsc.in2p3.fr ) is a mixed research unit associating CNRS-IN2P3, Grenoble Alpes University (UGA) and
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of RF communicating electronic systems to a multitude of waveforms, within the framework of the optimization of a non-linear radar. The candidate for this position will be responsible for : - Setting up
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for synthesizing electrospun membranes tailored to the requirements of our research and development projects. - Optimize synthesis parameters to enhance membrane performance in terms of selectivity, permeability
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the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development and optimization of an experimental setup
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partnership with the Charles Sadron Institute, - Contributing to the development of dedicated acquisition electronics, - Conducting tests on the developed devices, - Analyzing the obtained data, - Optimizing