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integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in organic/polymer synthesis and/or material analysis will also be beneficial. EU
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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home or international students) fully funded. A competitive Tax-free annual stipend for 3 years Requirements The candidate should have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical
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or international students) fully funded. Competitive Tax-free annual stipend for 3 years. Requirements The candidate should have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical
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-personal communications skills. Desirable skills: Previous experience in medical statistical analyses, strong understanding of the strengths and weaknesses of scientific research and / or experience
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, statistical and data science techniques, working with real world data to provide recommendations for UKHSA on how pharmacy OTC data could be used for surveillance in the future. The project will be supported by