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renewable electricity and sustainable feedstocks, represent a promising solution, enabling deep decarbonization. DESIRE is a Marie Sklodowska-Curie Doctoral Network aiming to train 15 PhD researchers in
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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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exergetic analysis, including control strategy. The net monthly salary is €2,200 The contract duration is 3 years Where to apply E-mail Daniel.matt@umontpellier.fr Requirements Research
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provided by the EUROfusion Horizon Europe consortium, which offers access to a large collaborative network and European EURATOM funding. To model the behavior of hydrogen in materials, we use electronic
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, workshops, and networking events. Application Procedure Applications should include: A cover letter describing motivation and fit for the project. A CV with details of education, research experience, and
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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
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(from clinical or environmental use cases) Application of improved workflows in field studies These tasks will be carried out within the Marie Skłodowska-Curie Doctoral network METAMIC 3 - Metaproteome
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zero net magnetization. The objective is to understand the interplay between magnetic and structural degrees of freedom gives that give rise to this novel phase, and to explore how the properties can be
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a
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approaches that build processes by mutation operators [1], natural language processing techniques with recurrent short-term memory (LSTM) neural networks [2], and variational autoencoders (VAE