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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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The candidate will be in charge of developing clonal patient-derived organoid (PDO) models from resections. The candidate will be in charge of developing clonal patient-derived organoid (PDO) models
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can be found at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis
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content near end-users. However, they still rely on a hierarchical and centralized network model. Peer-topeer systems like IPFS are the second class of candidates, but they lack robust guaranteesconcerning
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observations, CESBIO develops models that are not only explanatory but also capable of providing scenarios for the evolution of these surfaces and their properties under the pressures they face. At fine scales
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until 31/12/2025 Workload 1 607 hours per annum Mission development of predictive models for numerical simulation of material processing Principal activities Development of numerical tools for simulation
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neuromodulators) associated to sleep-wake cycle, circadian rhythms as well as stress in relation to seizure generation. The project will be conducted in rodent models of temporal lobe epilepsy using advanced
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, research engineers), and around 140 PhD students, post-doctoral researchers and staff on fixed-term contracts. The Institute also welcomes several dozen interns and visiting scientists every year. The
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. Cutting-edge technologies will be used, including single-cell omics, high-dimensional imaging (CycIF, iDISCO), genomic editing, and functional validation in patient-derived brain organoids and murine models