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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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research in the area of mathematical and computational modelling of materials in the Department of Materials. The post-holder will be expected to lead a research activity within the general area of materials
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qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and have demonstrable experience in handling and analysing various types of ‘omics data types
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The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has a new opening for a Project Support Officer, working together with Professor Yarin Gal. In
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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-qualification research experience. Relevant areas of research include computational chemistry, structural biology/bioinformatics, statistics, machine learning, computer science or mathematics. They will have a
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-qualification experience in the field of mechanical or biomedical engineering, applied mathematics, or another field relevant to the proposed area of research. You will also have proven experience in finite
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clinical trials ready for research. It is essential that you hold a Master’s degree in a mathematical or computational area, and have extensive experience in data science and data wrangling in a biomedical
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issues. It is essential that you hold a PhD/DPhil in a relevant subject area (e.g. computer science, bioinformatics, mathematics, medical statistics, statistics). You will have extensive knowledge and
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• Financial Economics MSc • Law and Finance MSc • Major Programme Management MSc • Mathematical and Computational Finance MSc • Mathematical and Theoretical Physics MSc • Mathematical Modelling and Scientific