69 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" positions at University of Bath
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and career development for all research staff in the MHRG. You will work under the supervision of world-leading clinicians and academics. The Bath MHRG is partnering with the Universities of Bristol and
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database (e.g., relational database) to store key workforce and service data developing reproducible workflows and code for extracting, transforming and loading (ETL) data into structured formats designing
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, including the production of monthly and quarterly management accounting information. You will also support the Costing and Research Accountants with creating and maintaining research projects codes and
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information on the Scott group and our research can be found here . As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days professional development pro
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completion of, a PhD in Physics, Astrophysics, Astronomy, or a related field. Experience with cosmological simulations, spectroscopic data analysis, or computational astrophysics is highly desirable. Strong
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documentary research in UK repositories (such as the Bank of England and The National Archives), collecting and organising qualitative and quantitative data on past and present financing arrangements, and
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include developing adaptive designs, conducting simulation studies, analysing clinical trial data, interpreting results to clinical scientists. There will be opportunities to contribute to peer-reviewed
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. You should also have excellent organisational skills, be a good team player and be able to successfully manage your workload, as well as stakeholder expectations. Further information This is a part-time
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interactions. Given the importance of the student and course records you’ll help to maintain, accuracy and attention to detail is critical to ensuring reliable data and exceptional service delivery. Your ability
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, which focusses on the genomic and evolutionary origins of plant traits. Our project, in collaboration with the University of Sheffield, Bristol and the John Innes Centre, has identified a novel non-coding