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education. This thesis aims to develop tools to support behavioural changes from a long-term perspective, fostering motivation in various contexts (considering the alternation of TPE sessions at hospital and
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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, Xarray, etc.); Familiarity with collaborative software development tools and practices (Git, documentation, etc.); Experience in international and interdisciplinary research contexts; Experience in writing
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application will be held open until the position is filled. • Particulars: *Please note: The signature of the doctoral contract and the payment of the associated remuneration will be conditional upon effective
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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• Research experience in microbiology and/or microbial ecology of terrestrial ecosystems (soil and plant) • Proficiency with standard microbiology and molecular biology tools (nucleic acid extraction, qPCR
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strategies in edge-cloud environments to ensure robust and timely operations. LLM-driven generation of workflow and configuration scripts for robots Algorithms and a methodology - along with supporting tools
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analytical and bioinformatics tools to analyse and interpret data - To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental