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of Electrical Engineering, Division of Electric Power Engineering. The position will include characterising commercial cells and the production maturity through performance testing, teardown analysis and material
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4 Sep 2026 Job Information Organisation/Company MUNSTER TECHNOLOGICAL UNIVERSITY Department Human Resources Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions
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of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Degree received within the last 60 months or currently pursuing. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences
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4 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other Physics
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of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials
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: A PhD degree in chemical engineering, mechanical engineering, materials science, physics, or a related field. Demonstrated experience with molecular simulation and/or process modelling and simulation
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Professor; Dean of the Physical Science and Engineering Division; Chair of CREST), a Highly Cited Researcher in Materials Science and Fellow of MRS, APS, IEEE, NAI, IoP, RSC, and IMMM. About KAUST: KAUST is
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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to, atmospheric science, environmental engineering, earth observation, and computer science. Strong programming skills and experience with machine learning applications in geoscience are highly desirable