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Job Description Kickstart your research career with our interdisciplinary PhD project on operating local energy systems to enhance the resilience of electrical grids. We invite you to join our
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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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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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of machine learning frameworks Your research will include using models and codes to investigate the optimized design, integration, and intelligent operation of thermal energy storage systems in industrial
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for research A relevant background in microbiology, molecular biology, animal physiology, or a related field Experience in chemical, microbiological, and/or molecular laboratory work Experience in experimental
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Job Description DTU Electro seeks a highly motivated PhD candidate to join the Perception and Cognition for Autonomous Systems Group (PCAS) in an alliance/strategic partner research project funded
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, or predictive modeling—based on real experimental data. You will work closely with engineers, technicians, and the postdoc to build and refine data pipelines and interfaces. As part of your research training, you
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smarter food regulation and enhance microbial food safety within Denmark’s small-scale food processing sector. You will work closely with researchers from DTU Food, DTU Compute, and DTU Management
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systematic reviews in RBAs could lead to more valid assessments and living support systems to public health decisions. By joining the Risk-Benefit Research Group at DTU National Food Institute, you will work
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for Digital Building Technologies, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). The research project will be carried out in collaboration with a team of DTU researchers