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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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Job Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling future power and energy systems? The Renewable Plants in
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
Do you want to join one of the strongest biomedical mass spectrometry research environments in Europe? Here is an excellent opportunity to work on an exciting and challenging project in
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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Science, Mechanical and Manufacturing Engineering, is open for appointment from 01/02/2026 or soon thereafter. The position is available for a period of 3 years. Your work tasks The PhD project will be part
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algorithms to other quantum computing platforms, and the development of practical use cases with real-world relevance. We seek candidates with a strong interest in working on these aspects or a subset thereof
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relation to extreme wealth. The position is part of the research project, The Morality of Extreme Wealth , funded by the Independent Research Fund Denmark and is available from 01-02-2026, or as soon as
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to mechanical forces. We work with leading international groups on modeling and also conduct simulations at DTU. Our overarching goal is to understand and predict the mechanical behavior of metals during plastic
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.” This position is part of the IntelliWind (Intelligent Systems for Autonomous Wind Power Plant Operations) project, a prestigious Marie Skłodowska-Curie Doctoral Network (MSCA DN) funded by the European Union. As