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develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable
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on the reactivation of cement and optimizing the cement blend. During the PhD study, the reactivity of recycled cement and thereby the strength development is optimized by the chemical elements that are missing in
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, international team with flexible work organization and support of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and
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: improving pathogen control and risk management. You’ll also build valuable connections with industry and academia to develop and evaluate food safety system that integrate AI, long-read sequencing, and
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transition. It addresses challenges such as volatile energy prices, inequality, and household risk exposure, while developing policy-relevant insights for fair and efficient energy systems. A consortium of
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, this PhD position is for you. At DTU Compute, you will develop novel methods in streaming process mining and artificial intelligence to tackle real-world cyber threats, working side by side with leading
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
three years emphasizing the development and testing of next-generation serious gaming approaches with respect to construction safety, health, and well-being or emergency response applications. This PhD
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We invite applications for a fully funded 3-year PhD position focused on developing next-generation robotic grippers for biological laboratories. The project combines advances in multi-material 3D
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biomaterial-based drug delivery. The position is part of a larger interdisciplinary research initiative aiming to develop targeted therapies for osteoarthritis (OA) by combining antisense oligonucleotide (ASO
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modifications using high-resolution mass spectrometry and AI-based de novo peptide sequencing. Develop and apply machine learning models to predict protease activity and substrate specificity, integrating protein