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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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to the weather prediction and climate projections. This is mainly due to our lack of understanding of cloud/snow ice microphysics and over-simplified representation in models. On a broader sense, although weather
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. Other data sources could be compiled to create climate analogues. 2) Develop a predictive model forecasting the future impacts of climate change on cardiorespiratory fitness in children and adolescents 3
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments You will work on a project on data driven control. In recent years
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design strategies, while producing structured spatio-temporal datasets that will serve as input for realising predictive models. Objective 3 — Realize predictive tools for scenario-based assessment
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Institut de Recherche en Génie Civil et Mécanique (GeM) | Saint Nazaire, Pays de la Loire | France | 24 days ago
plateformes expérimentales de pointe. Les candidatures doivent être déposées sur la plateforme Amethis (https://amethis.doctorat.org ). This PhD thesis lies at the interface between materials mechanics
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information, please have a look at https://microsunset.dtu.dk/ . To be eligible for a MICROSUNSET PhD-position, you must not have lived, studied, or worked in the host country for more than 12 months in
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to solar-driven thermophotovoltaic systems. By combining numerical modeling with experimental development, this PhD aims to bridge the gap between theoretical cavity designs and practical TPV subsystem
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workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT