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into the development of small molecules and other therapeutic strategies to treat patients with deadly pancreatic and prostate cancers. Our lab is part of the Department of Molecular, Cell and Cancer Biology (MCCB
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, stiffness loss, damage evolution, and transient creep interact under coupled loading. The project will develop temperature-dependent constitutive models informed by numerical simulation. Machine learning
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, the project will establish predictive frameworks capable of optimising process parameters, controlling microstructure evolution, and improving part quality in real time. Robotic platforms will be used
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accelerate the development of sustainable resource technologies. The project will be carried out in close collaboration with experimental partners in Singapore, who synthesize and characterize advanced
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
-sensitivity sensing applications. Your responsibilities will follow the project scope described above and include laser design and development, nonlinear frequency conversion, frequency-comb stabilization and
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). The successful PhD candidate will use a combination of adaptive laboratory evolution and rational metabolic engineering to achieve these goals. In addition, they will develop growth‑coupled selection strategies
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on the development and evaluation of interventions to improve substance use and infectious disease outcomes. Work in the lab also incorporates implementation science approaches to improve substance use and infectious
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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for the chemical industry. By enabling the direct production of formate / formaldehyde from carbon-based feedstocks using renewable electricity, the project contributes to the development of sustainable chemical
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quantification and mapping of the high-dimensional correlation structure across multiple traits, quantification of trait variation that arises from new mutations, development and applications of analysis methods