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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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rapidly changing characteristics. Simultaneously, the European energy system is also getting more coupled with other energy sectors like heat, gas, transport and industry. Power systems operating in such a
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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on developing and demonstrating a modular, containerized fuel cell system capable of dual-fuel operation with either hydrogen or methanol. The system aims to provide electrical power to critical infrastructure
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive
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the Center for Cancer Immunotherapy (CCIT) at Herlev Hospital, Copenhagen. You will join a dynamic and international team that utilizes in vivo mouse work and human clinical samples to understand
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conferences. You will work in close collaboration with a group of senior scientists, technicians as well as Post Docs and PhDs all engaged in the Villum Investigator project MicroAM. A 3–6-month foreign stay
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and focuses on cellular crosstalk in the regulation of liver function in health and disease. For this we apply single cell- and spatially resolved transcriptomics and bioimaging to study human liver
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient