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Qualifications: PhD in Physics, Chemistry, Chemical Engineering, Biophysics, Materials Science, or related field. A minimum of five years, beyond PhD training, conducting independent experimental research at a
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improving electric vehicle performance, safety, and lifetime. This PhD, in collaboration with Jaguar Land Rover, will develop physics-informed, state-based estimation algorithms for Lithium-ion battery
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308416/phd-candidate-in-ai-assis
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Physics » Applied
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a Ph.D. in Mechanical or Electrical engineering, or a closely related field, by the time of appointment. Proven expertise and research interests in the field of automation and robotics or in
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Requirements: PhD degree in Electrical and Electronic Engineering, or related field. Good publication record. Have prior experience in conducting experiments is a plus. A thorough knowledge of the ISAC, RIS is
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: Have or be about to obtain a PhD in a relevant discipline (e.g., MEMS sensors, microengineering, mechanical engineering, electrical engineering, applied physics, or related field). Recent and relevant
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 6 hours agoPosted: September 15, 2026 Tenure-Track/Tenured Faculty Positions in Supercomputing/ High-Performance Computing Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty
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Soft Biomedical Implants for Gastrointestinal Tract Therapies School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Dana Damian Application Deadline: Applications
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intervals Job Requirements: PhD degree in Mechanical/Electrical/Civil Engineering or equivalent Good knowledge of ultrasonic NDT/SHM Good numerical simulation skills Good programming skills (Matlab, C