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feel at home in political theory its application to empirical and/or qualitative research. Preferably, you also have experience in comparative political research. You can work in a small and close-knit
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the Uehiro Oxford Institute. This role would be suitable for an individual who would like to gain research experience prior to applying for PhD study. About us Based in Littlegate House, the Uehiro Oxford
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science, or closely related previous sufficient experience/education in the following areas: ecosystem services, risk assessment, ecological/environmental data analysis and modelling, soil biology Informal
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knowledge of translational drug development. · A track record of completing research projects and recent first/ lead authorship in high impact scientific journals Preferred · Experience with bi-specific T
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the Uehiro Oxford Institute. This role would be suitable for an individual who would like to gain research experience prior to applying for PhD study. About us Based in Littlegate House, the Uehiro Oxford
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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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the UK, and significantly contributes to the VMD meeting its public standards. You must have relevant experience of biological/immunological veterinary medicine products gained within the pharmaceutical
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of findings. What you can expect to gain during this role: Experience of working on a research project. Experience of data design and analysis. Experience of contributing to an academic publication. About You
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candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
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strong interest in spatial and environmental dimensions of urban systems. The ideal candidate will have: A PhD (or working towards or equivalent experience) in urban analytics, geography, spatial planning