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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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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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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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Doctoral Network CLIMES (Understanding and Predicting Impacts of Climate Extremes under Global Change), funded by the Marie Sklodowska-Curie Actions under the Horizon Europe programme. The CLIMES network
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laboratories of the network. Grenoble is the largest city in the French Alps. It is one of the most renowned scientific areas in France, providing a vibrant and collaborative scientific environment
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of the network are planned. Grenoble is the largest city in the French Alps. It is one of the most renowned scientific areas in France, providing a vibrant and collaborative scientific environment. The Laboratory
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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experimental tools for studying materials at very low temperatures (cryogenic testing) and, in this context, the “design” of a tool (specifications, subcontractor requests, etc.) enabling fairly complex
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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research Competitive MSCA salary & allowances Global academic & industrial network Non-academic secondments Salary (Gross amount) Living Allowance Mobility Allowance* Family Allowance** EUR 4736