87 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Technical University of Denmark
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for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
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www.kt.dtu.dk/research/dpc and https://www.kt.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your
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of Denmark (DTU). The position focuses on the development of nanomaterial-based biosensors for ultra-early cancer detection, alongside the development of advanced nanoformulation-based cancer therapeutic
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Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
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carburizing, is essential, as is understanding of microstructural evolutions during these processes. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
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a key part in supporting both laboratory experiments and mini-pilot plant activities, contributing to the development and optimization of innovative, sustainable carbon capture solutions. Your work
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to strengthen the Bioconversions group competences within the fields of microbial ecology and quorum sensing in the frame development of new technologies for production of bioenergy and added-value molecules. You
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collaboration with our team. You will: Develop ML methods to handle conditional data generation mechanism in the development pipeline, and for optimization and simulation Develop ML methods for uncertainty
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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable