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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. Empa is a research institution of the ETH Domain. Per- and polyfluoroalkyl substances (PFASs) are a...
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The Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), Odense, invites applications for a fully funded PhD position in the foundations of programming
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Joint degree / double degree programme No Description/content Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Economics Statistics Physics Mathematics (more...) Management Science & Engineering Computer Science and
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Economics Statistics Mathematics Physics (more...) Management Science & Engineering Computer Science and
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Economics Statistics Industrial Engineering Physics Mathematics (more...) Management Science & Engineering Computer Science and
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Application deadline: All year round Research theme: Control systems and theory, Applied Mathematics How to apply:uom.link/pgr-apply-2425 Number of positions: 1 Open to: UK This 3.5 year project is
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: BSc, including mathematics, cell and molecular biology Honors (first class) or MSc degree in Microbiology/Immunology/Pharmaceutical Science, or related degree Accreditation in Laboratory Animal Science
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dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable though not necessary
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including