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feature filtering procedure to deal with the large feature set necessary to predict the thermoelectric ZT of a material. - Improve the already existing experimental dataset. - Apply different machine
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condensates - have practical experience in single-molecule fluorescence microscopy - have practical experience in cryogenic electron tomography - have knowledge of data processing using R, Python, or equivalent
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, which aims to study low-energy neutrino physics through the study of the neutrino-nucleus elastic and coherent scattering process. The candidate's work will focus on the future TESSERACT experiment
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(emulsions). - Expertise in freezing/solidification processes. - Skills in scientific instrumentation: ability to adapt or modernize experimental setups and conduct experiments independently. - Ability
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can exhibit systematic deviations that bias the characterization process. Data fusion is a branch of data science (see Lahat et al. 2015) that aims to combine datasets corresponding to the same
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and processes science and engineering, it covers: materials, metallurgy, plasmas, surfaces, nanomaterials and electronics. By 2025, IJL has 259 permanent staff (34 researchers, 133 teacher-researchers
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of decision making and motivation, with a particular emphasis on understanding the cognitive processes involved in individual and collective choices. More recently, the team is developing innovative studies
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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interest in many sectors of application, particularly for the development of customised medical devices. Among the various additive manufacturing processes, 3D printing based on photopolymerisation reactions
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vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools