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The Energy Systems and Infrastructure Assessment Division at Argonne National Laboratory is seeking a highly motivated Postdoctoral Appointee to support research on AI-enabled monitoring, control
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sustainability and climate curriculums and educational resources. Candidate Profile • A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and
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REQUIREMENTS A PhD in mechanical engineering, materials engineering, robotic engineering or similar disciplines Documented experience in FEM analysis and CFD analysis Strong publication record Good command
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/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research
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, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background
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, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You should be clear in your
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://doi.org/10.1109/IROS40897.2019.8968000 , Macau, China, November 2019 ESSENTIAL REQUIREMENTS PhD degree in engineering, computer science or related field Experience with vision systems Experience in control
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» Quantum mechanics Engineering » Communication engineering Engineering » Electronic engineering Technology » Quantum technology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling thin-film growth
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We are seeking a full-time Postdoctoral Research Assistant in quantum dot device characterisation to join Prof. Natalia Ares research group at the Department of Engineering Science central Oxford