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Field
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unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer metabolomics and novel
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-second-class undergraduate degree (or a Master's degree) in Computer Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics
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A new approach to minimum colour vision requirements and optimum use of colour signals within Network Rail City St George’s, University of London – School of Health & Medical Sciences Supervisors: Dr Marisa Rodríguez-Carmona (City St George’s, University of London) Professor John Barbur (City St...
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(e.g., GROMACS) is a plus. As this is a theoretical position, strong mathematical skills and proficiency in programming (Python and/or C++) are required. Candidates for these positions are required
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. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We
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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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. Topic of research The laminar-turbulent transition in boundary layers is one of the most challenging topics in classical physics and applied mathematics, and stands as a bottleneck problem in the modern
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requirements, the applicant must have credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree Project (thesis). proficiency in English equivalent
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/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and