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research and knowledge, with a staff of more than 400 people from 37 countries working in research, innovation, research-based consulting and education. DTU Wind and Energy Systems has approximately 90 PhD
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academic partners in Europe and globally. Candidates with the following qualifications will be preferred: Educational background in power systems. Documented knowledge in optimization in power and energy
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/sensor data Pedagogical value and user experience studies on enhancing learning experiences (e.g., engagement, moti-vation, and knowledge retention) through immersive and interactive VLE Scientific
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PhD position (starting on 1 January 2026) will focus on secure Multi-Party Computation and Zero-Knowledge Proofs. You’ll join a growing, collaborative team of cryptographers at DTU, and you’ll get the
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have: good knowledge of quantum mechanics knowledge of electromagnetism and solid-state physics experience with scientific programming with e.g. Python, Matlab, Julia experience with writing a scientific
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of enzyme activity, stability, kinetics, and structure–function relationships. The goal is to gain fundamental insights into enzymatic degradation — knowledge that can ultimately guide the development of more
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: Hands-on experience with proteomics workflows and mass spectrometry-based data analysis. Basic knowledge of protein biochemistry and enzymology. Familiarity with machine learning frameworks (e.g., PyTorch
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on humidity/corrosion reliability of electronics is also suitable. For all qualifications, prior experience of corrosion of electronics or similar topics is an advantage. A combination of knowledge in
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at DTU Compute, including teaching and supervision activities We are looking for you who have: Solid knowledge of process mining, continual learning, or cybersecurity Strong analytical and programming
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and animal health and welfare has been found in the terrestrial farmed animals, while many knowledge gaps remain in the aquatic farming environment due to diverse range of farmed species, rearing