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experience in project management involving data management, health data science, medical statistics, epidemiology, or a related discipline. We would also welcome applications from people with advanced data
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(SDMA) team provides a portfolio of data, reporting and statistical services for the University of Oxford. In addition to maintaining and facilitating access to reporting datasets on Oxford students and
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with study designs and development of study protocols. To be considered for this position, you will hold an MSc in statistics or epidemiology or a health-related field which includes a substantial amount
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) Skills Essential: C1 programming (preferably systems, e.g., C/Python); qualitative analysis (e.g., thematic analysis, grounded theory); statistical analysis C2 Research creativity and cross-discipline
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through relevant work experience (including experience gained throughout MSc/PhD) E2. Experience in the collection and analysis of data, including experience using statistical software. E3. Experience
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responsibility where required for preparing benchmarking data and preparing other statistical returns as appropriate. 14. To cover for and or support other members of the Procurement team and deputise
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of statistical and machine learning methods to large datasets. Appointments will be made at grade 5 and offers will be made based on level of experience in relation to the duties and expectations of the role and
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the knowledge and ability to teach across a range of topics in actuarial science, in particular the Core Statistics and Core Modelling subjects (CS1, CS2, CM1, CM2). About the School/Department
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statistical analysis skills in cell and molecular biology would be a significant advantage. A demonstrated ability to communicate well, work within a team, deliver projects within an agreed time frame, and
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are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources