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. As part of our large and diverse Department, you will work alongside over 150 scientific staff and more than 2,000 students. In addition, we have over 30 PhD students and an administration team of 35
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of relevance through publications and collaborations Co-supervision of bachelor and master students within the above-mentioned fields Qualifications: PhD degree (or equivalent) in Computer Science, Artificial
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, experimental and computational methods to study the physiology of microbes. You will work in a team contributing to projects of other team members, while independently developing your own project. You will also
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high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In
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device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. Exploring hardware-level security mechanisms based
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societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600
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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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be designed, and carried out, together with a PhD student already working on the project. Data will then be used to estimate behavioral models and integrated into an activity-based models for scenario
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the supervision of MSc and PhD students affiliated with SDU Nano Optics as well as in writing grant applications supporting the research at SDU Nano Optics. Further information For further information and details