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problems. This level of complexity increases when considering the multi-period operation of the system. These are difficult to solve using traditional strategies, so in recent years machine learning
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of the Ministry of Higher Education and Research (MESR). The project focuses on the development of cutting-edge machine learning methods aimed at predicting atomistic structures (i.e., the arrangement of atoms
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, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines. The successful candidate will
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. The approach may also be complemented by machine learning techniques in collaboration with a Parisian laboratory. Ultimately, this functionality will be applied to molecular docking results, including correct
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specification and verification Theorem proving, familiar with proof assistants Machine learning and LLMs We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff
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of the project is to use machine-learning assisted molecular dynamics simulations incorporating quantum effects for the identification of new variant-specific drug targets which will be validated experimentally
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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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NeuroSchool, Aix-Marseille Université | Marseille, Provence Alpes Cote d Azur | France | about 2 months ago
and novel conspecifics. Neural recordings will be analyzed using machine learning techniques, such as support vector machines and Bayesian decoders, to identify behaviorally relevant neuronal ensembles
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activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the bachelor's programme in medical imaging technologies and related fields. He
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Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both industrial physic-chemical