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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT), smart and secure societies, smart manufacturing, and life sciences. We also
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of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human, animal, plant and food science and
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and sustainable growth. In a large research project funded by a Carlsberg Foundation’s Semper Ardens Advance grant, we will investigate if we can realize a new heavy-rare-earth-free permanent magnet
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collaboration with audiologists and clinicians. Co-supervising PhD & MSc students, particularly those working in electrophysiology and computational modelling. Developing a computational model of cochlear signal
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, suppliers or developed within a PhD project at DTU Energy. Characterize the sorbents (such as Metal-Organic Frameworks (MOFs), zeolites and activated carbons) by setting up and using advanced adsorption
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printing and make more efficient, lower noise and higher power PICs. You will get to work in our large cleanroom mostly on III-V compound semiconductors and be part of a strong team. Responsibilities and
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people and creating value for society. The department has a scientific staff of about 210 persons, 140 PhD Students, and a technical/administrative support staff of about 100 persons of which a large
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people and creating value for society. The department has a scientific staff of about 210 persons, 140 PhD Students, and a technical/administrative support staff of about 100 persons of which a large