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Description/content The Graduate School Life Science Engineering provides an exceptional interdisciplinary educational programme for highly qualified international scientists and students. Our programme is
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience
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health data science in an interdisciplinary setting. The research will be performed in close collaboration with The Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg
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, computer science, biomedical engineering, cogntitve sciences with a strong quantitative focus, data science, or a related field. You have relevant experience in at least one of the two core areas: human neuroimaging
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currently untreatable diseases. You hold a Master’s degree in Biology, Biochemistry, Molecular Biosciences, (Bio-) medical Sciences, Bioscience engineering, Pharmacy or equivalent. You have a passion for
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) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big
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Applications are invited for an EPSRC Industrial Doctoral Landscape Awards (IDLA) PhD position at the University of Nottingham addressing the specific engineering details of the wear of articulating
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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attention to how interventions such as optimised scour protection, engineered reef units, may contribute to ecological enhancement alongside broad social, natural capital and carbon outcomes. The work will
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institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections