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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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, Pennsylvania 19004, United States of America [map ] Subject Areas: Statistics Economics Industrial Engineering Physics Mathematics (more...) Management Science & Engineering Computer Science and Electrical
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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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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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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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: 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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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
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence will inform future race strategy and live race tactics. Multiple factors influence the strategy...
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Institute for Marine and Atmospheric Research is looking for a motivated PhD candidate with a background in physics, applied mathematics, meteorology, geosciences or a related field. You will work within the
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motivated candidate with a strong mathematical background, particularly in one or several of the following areas: multivariable control, nonlinear control, robust control, matrix analysis, and convex