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enable us to test Risø HPP when it is connected to different electrical power grids, which we will emulate with the CGI. We are looking for a Postdoc who will be engaged in experimental research and model
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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at the Institute of Mechanical and Electrical Engineering (IME). The section conducts internationally recognized research in integrated circuits, spintronics, photonics, and neuromorphic computing, and plays a
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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information may be obtained from Dr. Mikkel Heuck, mheu@dtu.dk . You can read more about career paths at DTU here and the Department of Electrical and Photonics Engineering here . If you apply from abroad, you
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funded by a Novo Nordisk Foundation Exploratory Interdisciplinary Synergy grant. The project aims to develop new antibiotic compounds that evade both current and likely future resistance mechanisms
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for this postdoctoral should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The successful