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predict failures before they occur: a key enabler for safer, more efficient, and lower-carbon industrial operations. The PhD will be conducted at fluiidd (La Ciotat, France) in close collaboration with CEA
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researcher shall develop R&D activities in the field of batteries for microgrid applications. Such activities will involve at least: Tasks Description: Testing of battery cells and/or modules in controlled
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Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research group is
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
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our IMPACT-SMI research programme. Our mission with IMPACT-SMI is to transform the lives of millions of people with severe mental illness (SMI) by making their condition more predictable and manageable
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to turn partial MRI measurements into meaningful input for predicting optimal sensor phase configurations and feedback control; Identifying pathways towards the integration of domain knowledge about MRI
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educates University employees, HDCS customers and stakeholders about relevant compliance requirements, trends, industry best practices and loss control/injury and illness prevention solutions. Financial
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in the prediction and modelling of extreme flood events? Do you want to understand how
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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
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modeling – including predictive models for Alzheimer’s disease with a particular focus on sex-specific (female) risk. The harmonization pipeline will integrate female-specific and cognitive variables/items