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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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IC or LC will be used for the selective detection of fluorinated species by ICP-MS. To this end, approaches involving the formation of BaF+ complexes will be implemented. Another technique, namely IC
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: Institut de Biologie Valrose (iBV), Nice, France -Start date: 02/06/2026 -Contract: 2 years If you are enthusiastic about dissecting complex protein interaction networks and eager to develop cutting-edge
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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning
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-fertilization and interdisciplinarity between different players and sectors to better grasp the complexity of their issues. They are structured into programs based on the specific themes addressed by
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foster an inclusive and interdisciplinary culture, providing access to state-of-the-art facilities, training opportunities, and a great network of national and international collaborators. We are committed
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● Preparing complex data for analyses ● Conducting advanced quantitative analyses ● Drafting, submitting, and revising (in English) academic articles for publication in leading international journals in
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Network spanning 33 institutes worldwide. Host laboratory: The Mass Spectrometry for Biology Lab https://research.pasteur.fr/en/team/mass-spectrometry-for-biology/ )led by Julia Chamot-Rooke, is a dynamic