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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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with an interest in ecological applications. Required qualifications: PhD (or equivalent) in computer science, biology, software engineering, or a related field Strong proficiency in Python, including
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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We invite applications from researchers to join our XR (extended reality) and Visual Computing research groups. We have 3 posts available from 1 May but there is flexibility for later start dates
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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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Enthusiasm and excellent collaboration skills Passion for computational modelling Strong oral and written skills in English As a formal qualification, you must hold a PhD degree (or equivalent) in machine
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spintronic-based computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and
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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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employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Andrey Rivkin, DTU Compute, https://orbit.dtu.dk/en/persons/andrey-rivkin