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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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adipocytes to brown adipocytes Perform other duties as assigned. A minimum commitment of 5.5 working days per week is required Requirements A Ph.D. degree, preferably in Biology, Biomedical Sciences, Multi
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, and advanced schools. access to high-performance computing resources and state-of-the-art computational tools. Where to apply Website https://forms.gle/tkVEz36pRVdLUhY78 Requirements Research
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the secretory factors involved in the conversion of white adipocytes to brown adipocytes Perform other duties as assigned. A minimum commitment of 5.5 working days per week is required Requirements A
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures. At the Institute of Energy Technologies – Fundamental Electrochemistry (IET‑1), we
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]performance, cost-effective energy storage molecules and mediators. The work includes molecular property prediction, stability assessment, and matching candidate molecules to relevant electrochemical operating
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essential; applicants should demonstrate strong academic performance, resilience in the face of research challenges, a proactive attitude to learning and a willingness to grow, and ideally an initial
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-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance
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Intelligence Platform for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform
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. The aim of this PhD project is to demonstrate clean maritime systems performance and their scalability on a vessel. The PhD candidate will address these challenges by setting up performance monitoring