613 phd-in-architecture-landscape-built-environment Postdoctoral positions in United Kingdom
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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modern world history. Our PhD students and early career researchers are appointed to many of the top positions in their field. We are currently (2024) the 6th best History department in the UK, and 23rd in
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Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our Purpose and Values We
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. About the role To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (awarded or thesis submitted) in Addiction Experience in
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built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our Purpose and Values We want our
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skills and experience: Essential criteria PhD (awarded or thesis submitted) in Addiction Experience in conducting both quantitative and qualitative research, including data collection and analysis Proven
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modern world history. Our PhD students and early career researchers are appointed to many of the top positions in their field. We are currently (2024) the 6th best History department in the UK, and 23rd in
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team together with three PhD students to create a mutually supportive research environment. Candidates must be enthusiastic about building and working in a large interdisciplinary team. These positions
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis