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Field
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Qualities: Autonomy, rigor, initiative, teamwork Preferred Education and Professional Experience: Education: PhD in Thermics or Energy or process engineering Experience: Experimentation and/or modelling
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facilities. Skills/Qualifications PhD in microbiology, molecular biology, or related field Strong experience in bacteriology and molecular mechanisms of pathogenesis Previous experience with insect models and
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Description You will: * Lead MEG head-cast data collection for a visuomotor reaching/interception study, ensuring robust synchronization with video-based kinematics and eye-tracking, and enforce rigorous
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model
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in any one, or a combination of, the following topics: expert knowledge of mineralogical analysis and geomorphology; modeling of optical properties; field-based data collection linked to dust
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the concerted chemistry of transition metals and protein-based radicals [1]. Our bioinspired artificial catalysts are being conceived and characterized as in vitro tunable model systems for understanding better
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to environmental changes from the origin of the genus Homo to very recent periods. This very broad theme is based on a wide range of specialists including archaeologists, bio-archaeologists, funerary archaeologists
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CNRS/IN2P3 and Université Toulouse III - Paul Sabatier. The L2IT Particle Physics team contributes to understanding the dynamics of the scalar sector of the Standard Model through studies of the Higgs
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of the ERC NEMESIS Synergy project (see https://erc-nemesis.eu/ ). The aim of this project is to build an integrated computing chain based on "Discrete de Rham" methods, the main feature of which is to
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neuroscience or a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (eg. model-based fMRI). The candidate must also have working knowledge