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learning and digital education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and
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requirements: Applicant should have, or expect to achieve, a 2:1 honours (or international equivalent) in mathematics, engineering, or another relevant discipline. A relevant Master’s degree will be desirable
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Applied Mathematics, Biophysics, Bioinformatics, Computational Biology, Biomedical Engineering and appropriate English Language qualification. If you are eligible to apply for the scholarship but do not
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master’s degree in a relevant discipline that include Applied Mathematics, Biophysics, Bioinformatics, Computational Biology, Biomedical Engineering and appropriate English Language qualification. Please
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addition to funding for tuition fees and research training. We are looking for applicants with a degree in Computer Science, Mathematics, Physics, or Electrical Engineering. Prior experience in tomographic imaging
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, Fluid Mechanics, Mechanical Engineering, Applied Mathematics, Engineering Mathematics, Mathematical Modelling, Nuclear Physics
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
. The project is therefore suitable for students with a background in (but not limited to): • Applied Mathematics or Theoretical Physics • Computational Biology or Bioinformatics • Computer Science or Engineering
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1st class would be highly desirable. We welcome candidates from a broad range of disciplines, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine