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and Technology). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive
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fish‑community dynamics and environmental conditions at offshore sites. The successful candidate will join the Observation Technology research group at DTU Aqua and work in a collaborative project with
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transformation across all our therapy areas in Research & Early Development (R&ED) at Novo Nordisk . Automation & Process Optimization Department is located in Maaloev (Denmark). We work in multidisciplinary teams
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function
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”, financed by the Independent Research Fund Denmark. The project will involve active research collaboration between national Danish partners DTU and DHI, as well as with international partners University
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research approach is based on classical chemical engineering tools combined with formulation expertise and projects are often carried out, inspired by or in close co-operation with industrial partners. We
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and may commence preferably in the fall of 2025. Your tasks As a PhD student at DTU, your work will include: Learn to perform rigorous and relevant research Collaborate with key academic and/or
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. You will work under the supervision of Prof. Francisco C. Pereira, Assoc. Prof. Carlos Lima Azevedo (DTU), Dr. Biagio Ciuffo and Dr. Georgios Fontaras (JRC). You will work on research focused