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Do you want to work with high-performance computing infrastructure? And do you see yourself as a team player who is strong in collaboration? If yes, we look forward to reading your application
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs
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collaboration with industrial and academic partners; access to advanced RF laboratory and high-performance computing facilities; and active contributions to publications, grant applications, and broader project
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communication, microwave engineering, and applied AI. Our research combines strong theoretical expertise with unique experimental facilities, including advanced RF laboratories and high-performance computing
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, software, and High Performance Computation (HPC) infrastructure; • Excellent scientific infrastructure; • Participation in project meetings and international conferences; • Flexible working hours
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worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees
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programme Electrical and Electronic Engineering; as per August 1st, 2026, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and
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crystalline materials is often responsible for improved materials performance, but it is commonly overlooked in computational materials design. In this project, we will focus on developing accelerated
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, molecular dynamics, and the use of high-performance computing is advantageous. Also, experience from synchrotron or neutron facilities is an advantage but not a requirement. Excellent oral and written
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD