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Field
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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-personal communications skills. Desirable skills: Previous experience in medical statistical analyses, strong understanding of the strengths and weaknesses of scientific research and / or experience
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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the preparation of articles for publication in scientific journal(s) Good numerical and statistics skills and familiarity with text editing software, such as Word, Excel, etc. Knowledge of advanced statistical
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). An MSc in a relevant subject (as above). Additional languages (French or German) are desirable but not essential. You must be a UK resident / Home student (this scholarship is not available
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Experience Essential MSc degree in a relevant discipline to the project: social sciences (social anthropology, history of medicine, science and technology studies, supply chain management), design (e.g
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responsibilities of the job - Access and analyse national cancer registration data, population statistics, and mortality data by ethnicity. - Calculate ethnicity-specific absolute risk thresholds and estimate
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support to develop their research career beyond completion of doctoral studies. Applicants should have a primary degree in a relevant methodological discipline (such as statistics, health economics) or a