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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You
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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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Phaffii? You will play a key role in a collaboration between Professor Uffe Mortensen at the Department of Biotechnology and Biomedicine at DTU and the Microbial Expression Engineering Department at Novo
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive
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decision data to mimic administrative rejections and historical grant decisions. Outcomes of Public Funding: How does obtaining or not obtaining public funding affect the subsequent performance of firms and
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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foundation, that enables trade-offs between functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full
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overall focus will be to contribute to strengthen the department’s competences within gas fermentation technology. You will work with nearby colleagues and academic partners in Denmark as well as abroad