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medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research environment. Our department has unique and advanced animal experimental
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is to establish and conduct research projects, teach, communicate knowledge about alcohol and drug use, and collaboration with national players in the area as well as international research
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electronic components including SiC/GaN based devices. The candidate will also have opportunity to work with industry related problems. Key Responsibilities Research & Learning: Develop expertise in advanced
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components including SiC/GaN based devices. The candidate will also have the opportunity to work with industry related problems. Key Responsibilities Research & Learning: Develop expertise in advanced control
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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
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. The research should focus on low-power embedded systems, multimodal sensing (including wearable shoe-based platforms), and edge-cloud computing with serverless and federated learning techniques. You will work
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learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three systematic phases
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk . Technology for people DTU develops technology for people. With our international elite research
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), aiming to bridge neuroscience and electronics. The project integrates expertise from circuit design, machine learning, and neurotechnology to deliver innovative solutions for applications such as brain