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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development of AI-assisted automated
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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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catalytic materials based on low-melting-point metals, developed within the framework of the ANR-funded LIZA project (Liquid Metals for Stable Zeolite Catalysis). The candidate will employ the advanced
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of bacterial mutant strains and plasmids. * Construction, manipulation and/or screening of strain libraries, particularly using CRISPRi approaches. * Development and implementation of phenotypic assays to assess
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop and implement experimental systems for the optical and vibrational
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will also play an active role in the broader research activities of the team. Their responsibilities will include designing, developing, and implementing experimental protocols related to the project, as
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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. The ERC COLIBRI project aims specifically to develop new theoretical and numerical tools to overcome one of these challenges: modeling galaxies within their cosmological environment. The person hired
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will contribute to the development of the team's research theme by independently managing a scientific project. The main activities will involve carrying out experiments in molecular biology
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within the research group; - develop and troubleshoot experimental strategies; - contribute proactively to the formulation of biological questions and the interpretation of results; - present research