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2 Apr 2026 Job Information Organisation/Company Université de Montpellier Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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disciplines relevant to the position include: Mechanical Engineering Operations Management Supply Chain Management Candidates are expected to teach and supervise students at all levels, including PhD students
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are looking for an ambitious and highly motivated postdoctoral researcher with a PhD in vascular biology, immunology, or cell biology to join this collaborative project. While a full person specification is
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» Mechanical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in technical sciences (preferably in mechanical engineering or a related field) Documented research experience, supported by
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candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative
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, construction, building envelope, fire protection, acoustical and lighting). Detailed Position Information The Department of Civil, Construction and Environmental Engineering (CCEE: https://cce.eng.ua.edu/ ) and
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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
in Norway. About the project This PhD position is part of the newly funded VISTA Centre for Norwegian Transformative Energy Policy Development (NOTRAP) (https://www.ntnu.edu/notrap ), which will
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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(PhD or MSc) Our goal: Build a future-proof data platform that accelerates plant breeding research. Your colleagues: An interdisciplinary team of data engineers, researchers, and domain experts within