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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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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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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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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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● 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
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Financial support: 2100-2400 euros/month, net salary The host laboratory is the UMR 6064 CNRS (CARMeN) based in Rouen (Normandy). The research developed within Institute of analytical chemistry and molecular
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At PRISMM , we enjoy analysing biomarkers of exposure and effect in complex samples using mass