4,138 electric-machine-"https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral research jobs
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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considered until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 5 days ago
the Thoth project team (https://thoth.inrialpes.fr/ ) within the Inria Centre at Université Grenoble Alpes (https://www.inria.fr/en/inria-center-universite-grenoble-alpes ) to work under the supervision
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, wellbeing support, and a range of travel, lifestyle and healthcare benefits. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits for more information. Our commitment to Equality, Diversity and
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. Information about the Department can be obtained at https://ece.hku.hk/ . Applicants should possess a Ph.D. degree in Electrical Engineering, Computer Engineering, or a related discipline, with a strong
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Stanford Departments and Centers: PULSE Institute Postdoc Appointment Term: 1 year with renewals possible up to three years Appointment Start Date: ASAP Group or Departmental Website: http
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Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Position Title: Postdoctoral Research Associate in Electrical and Computer Engineering Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating