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conditions can be complex and requires adaptation strategies. To overcome these limitations, the RESIL-AV project aims to improve detection accuracy by leveraging a network of heterogeneous sensors. This will
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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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evolutionary). The project aims to approximate a Boltzmann distribution associated with an objective function that is difficult to optimize in order to solve complex optimization problems. This probabilistic
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, which in turn will be used to engineer highly specialized neuronal cellular subtypes for cell transplantation therapies. To achieve this goal, the candidate will combine a gene network-based approach with
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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 hours ago
representing mobility flows and EV trajectories from the collected data. • Redesign the model to incorporate more complex, nonlinear trajectories by removing constraints from the initial bipartite graph
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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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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