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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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systemsEducation LevelPhD or equivalent Skills/Qualifications Required skills, knowledge, and experience: Expertise in modeling and simulation (BPMN, DEVS, RO languages). Experience in the field of reconfigurable
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Preference will be given to candidates with expertise in cosmology. Knowledge of the science involved in modelling the cosmic microwave background and associated astrophysical foregrounds is required
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Modeling and Simulation of Energy Storage Units interacting with the electric grid - 2026_CDR_DENG_1
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program involves studying the different methods of modeling large
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student in areas related to Computer Science. Basic experience in health data analysis. Python programming. Knowledge of machine models and deep learning. Intermediate English level. Specific Requirements
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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Biomedical Sciences, Data Science or related field; with (i) knowledge on cutting edge technologies; (ii) some track record of independent research and publications on related topics in international peer
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to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us Our
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry