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institute of Mines Saint-Étienne and the Laboratory of Informatics, Modeling and System Optimization (LIMOS, UMR 6158) is opening a PhD position in knowledge representation and machine learning, to work
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Université de Lorraine - GeoRessources | Vand uvre les Nancy, Lorraine | France | about 2 months ago
the context of energy transition. Machine learning applications for geosciences would be a plus. Languages : English required, French required for some lectures. Requirements Research FieldGeosciences
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approaches and reduced-order models. It will lead to the development of efficient machine learning models that will be used in a global optimization framework. The first step is to determine the most
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or R. - Knowledge of machine learning methods. - Ability to work independently and as part of a team, and at the interface between life sciences and computer science. - Good writing and communication
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on Software Development Engineering and System Design Knowledge and practice in Model Driven Engineering: Meta Modelling, System Modelling and Model Transformation, Basic Knowledge in Machine Learning and NLP
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. This last aspect is particularly developed using machine learning methods, in which the team has recognized experience. These methods are deployed on a wide variety of study sites and projects, including
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algorithms e.g. using machine learning approaches for enhanced data analysis and acquisition, experiment automation, etc. The work will take place in the Algorithms & scientific Data Analysis group, in close
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learning and energy efficiency. - Develop innovative machine learning algorithms specifically designed for memristor-based systems, with a focus on continuous learning and real-time adaptability. - Assess
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Université de Lorraine - LORIA : Laboratoire Lorrain de Recherche en Informatique | Nancy, Lorraine | France | about 1 month ago
models and algorithms for the efficient dynamic collection of data from a distributed network of sensors when such data are requested by a machine learning process. Firstly, the student will have to
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.2021.118920 [3] Trends in Chemistry, 6, (2024), doi.org/10.1016/j.trechm.2023.12.001 [4] Machine Learning for Advanced Functional Materials, Springer, (2023); doi.org/10.1007/978-981-99-0393-1_8 Funding