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(or close to submission) in a relevant area of chemistry, materials Science, or chemical engineering, or a relevant discipline, and must have a good understanding and skills in electrochemistry, material
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DOE-STP Critical Minerals and Energy Innovation - Alternative Fuels and Feedstocks Office Fellowship
Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-CMEI-AFFO-2026 How to Apply Click on Apply below to start your application. Description The Science, Technology and Policy (STP
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to complete a PhD within 3 months from the application closing date) in a range of fields including Physics, Chemistry, Materials Science and Engineering. To apply for the position please follow
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of sensitive knowledge and technology. To apply, please send, via the ‘apply now’ button: a motivation letter (max. 2 pages); your curriculum vitae (with links to published code and papers); contact details
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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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researchers. This project is funded by the Bertil and Britt Svenssons Foundation for Lighting Technology. Qualifications To be appointed under the postdoctoral agreement, the postdoctoral fellow is required
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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. The successful applicant will work within a multidisciplinary team of electrochemists, material scientists, composite engineers, fellow anthropologists and sustainability experts on structural power composites
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Time Zone Description The U.S. Department of Energy (DOE) Office of Critical Minerals and Energy Innovation (CMEI) Science, Technology, and Policy Program (STP) Fellowship offers an opportunity
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in the world. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Telemetry collection and analysis to inform system optimization, workload