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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 5 days ago
simulation infrastructure (e.g., event scheduling, time management, state tracking) and domain logic (e.g., such as workload-management strategies, performance metrics collection). •Development of a reusable
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 5 days ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of high-fidelity multi-physics structural
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in nematodes. Much of our work now focuses on the evolution of egg-laying behaviour and the transitions to viviparity. In parallel, we are also interested in characterizing the natural history, ecology
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position Do you want to work at the
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | 5 days ago
Infrastructure? No Offer Description The research activity deals with the development of a biotechnological process for the production of bioactive hydrolysates from poultry and fish industry wastes/byproducts. In
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) is required. More generally, we are looking for an open-minded candidate with an interest in the ecology and evolution of emerging pathogens. Website for additional job details https://emploi.cnrs.fr
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Areas: Physics / Biology , Biological Physics , Biophysics , Biophysics/Soft Condensed Matter Theory , Condensed Matter Theory , evolution , Fluid Physics , Material Science , Mechanical Engineering
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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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diet and microbiota in animal models of zootechnical relevance, with the goal of generating knowledge to support the development of dietary and nutritional strategies that promote animal health and