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renewable energy sources into the power grid. Key research questions may include: How can machine learning be leveraged to improve the accuracy and speed of dynamic simulations in renewable power systems
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years). Evidence of English proficiency. Copy of Bachelor’s and Master’s certificates. Copy of Bachelor’s and Master’s transcripts. Any additional material useful for the assessment of the candidate (e.g
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. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme-substrate
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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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, materials technology, manufacturing engineering, engineering design and thermal energy systems. Technology for people DTU develops technology for people. With our international elite research and study
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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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industrial partners. We solve challenging research problems from real applications and implement novel software and solutions together with end users. We are looking for candidates for two PhD projects: 1. PhD
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) Evidence of English proficiency. Any additional material useful for the assessment of your application (e.g., recommendation letters, research project/statement in agreement with the requirements specified
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genetics commencing 1 January 2026 or as soon as possible hereafter. Our group and research Laurits Skov’s research group studies the history of humans such as ourselves (homo sapiens), Neanderthals and
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof