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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among
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English and interpersonal skills for working in a multi-disciplinary team environment. Willingness to engage in group work with a multi-national team; Able to work independently; Approval and Enrolment
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‑band acoustic systems, to extend DTU Aqua’s ocean‑observation capabilities. Process and analyse multi‑sensor data to characterise marine fish communities and their habitats. Contribute
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the molten salt/metal interface at multiple scales, from atomistic to mesoscopic, with the goal of identifying the fundamental mechanisms driving corrosion. Moreover, you will use this knowledge to suggest
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available at the Structural Virtual Testing and Digitalization section at the Division of Materials and Components of DTU Wind and Energy Systems. The section’s expertise lies in multi-scale progressive
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industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design, automation, and multi-parameter optimization and
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, the focus of the PhD project is to develop a methodology to digitalize the recycling line of spent LIBs from EVs for a large-scale application, while integrating existing research. Specifically, the project
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of