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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for
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two workshops. Qualifications We are looking for an engineer or physicist with excellent academic records and who has ideally already demonstrated scientific achievements. We are interested in working
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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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systems. Your Profile Bachelor’s degree and currently enrolled in a Master’s program in electrical engineering, physics, or a closely related field Basic understanding of device physics, analog/mixed
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laboratory environment and following specific clean room protocols Master`s degree in physics or electrical engineering or a related field Willingness to work in laboratory and cleanroom environments
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AI-enabled digital technologies for the resilient operation of power systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline
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design of hybrid electrical–optical computing architectures and (2) develop learning rules that are both technology-feasible and well-suited for machine-learning workloads. The project will consist among
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer in Structural/Finite Element Analysis for Maritime Drone
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laboratories and focus on the development of innovative power electronic solutions for future electric vehicles and stationary applications and components. Research Engineer (f/m/d) for Electric Vehicle Power