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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
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We are searching for a doctoral candidate eager to take part in crossdisciplinarity work within battery technology for a sustainable future. This work will compose both theoretical and experimental
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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, physics, music and opera as well as the preparatory technical foundation year. MDU's research specialisation educational sciences and mathematics is part of the School. We collaborate with the surrounding
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We are looking for a PhD candidate fascinated by the response of sensitive clays, such as quick clays that can change from solid to liquid with small environmental perturbations. We want to be able
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our PhD programme, please visit our information page. We offer a fully financed position. Your time will be devoted to your doctoral studies (80%) including coursework and writing a doctoral thesis
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in computer science, engineering, data sciences, applied mathematics, machine learning, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at
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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment
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relies on close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University. The PhD position is within the Data-driven life science (DDLS) Research
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life science. The aim of this PhD position is to develop a novel phylogenetic approach to predict unknown species interactions. For that, the student will compile all available data on host use