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We are seeking an outstanding candidate for a PhD fellowship in the field of computational fluid and solid mechanics. The fellowship will start on September 1st, 2025, or as soon as possible after
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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environment in mass spectrometry-based proteomics. You will have access to state-of-the-art facilities (e.g., proteomics and bioimaging) and extensive expertise in functional proteomics. Through SDU, you will
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the understanding and chemical characterization of advanced bio-oils derived from lignocellulosic biomass and municipal solid waste. This research is critical for the commercialization of bio-oil upgrading processes
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on bedrock in Greenland. The study aims to enhance geodetic monitoring capabilities in this remote and climatically extreme region, contributing to high-precision measurements of land motion, glacial isostatic
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, collaborative, ambitious and innovative research environment in mass spectrometry-based proteomics. You will have access to state-of-the-art facilities (e.g., proteomics and bioimaging) and extensive expertise in
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the computational activities in a large closed-loop collaboration that includes computational, biotechnological and automation activities, requiring a solid understanding of the different areas involved in
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novel mass spectrometric techniques to improve proteome analysis. Collaborative Environment: Join an interdisciplinary team with microbiology, bioinformatics, and mass spectrometry expertise. State
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for the position. Our research areas At DTU Physics, we perform research in fundamental and applied physics areas and we use and develop state-of-the-art experimental and theoretical approaches. We have broad
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. Responsibilities and qualifications The nature of this project suggests that you should have a strong interest in the mathematical and theoretical aspects of machine learning. A solid background in mathematics (e.g