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Statistics and AI for Engineering and Smart Manufacturing School of Mathematics and Statistics PhD Research Project Competition Funded Students Worldwide Dr Wei Xing Application Deadline
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We are seeking a Research Associate to work at the intersection of computational statistics, machine learning, and global health. You will be based in the Department of Computer Science at Oxford
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The School of Mathematics & Statistics combines world-leading research expertise in pure mathematics, applied mathematics and statistics. Our research in statistics impacts across a range of areas
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Using Multivariate Statistical Surrogate Models of Displacement Cascades To Simulate High-dose Irradiation Damage Department of Materials Science and Engineering PhD Research Project Directly Funded
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protection, as well as helping to ensure the survival of these important species. This research has the potential to have a significant impact on conservation biology by providing novel statistical and machine
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; The Medicines And Healthcare Products Regulatory Agency | Canary Wharf, England | United Kingdom | 30 days ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: Apply knowledge and skills in epidemiology and statistics to support the delivery of the Agency’s Data Strategy
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the project. About the role: You will work with Dr Theresa Smith and collaborate with Dr Aisling O’Kane and her team at the University of Bristol. You will conduct fundamental research in statistics and machine
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View All Vacancies Overview of the Role Do you have experience of teaching medical statistics/biostatistics? Would you like to work in an academic environment delivering statistics teaching and
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June 2024 The role We are seeking a talented medical statistician/data scientist with a strong background in programming and statistical modelling of longitudinal cohort data and statistical analysis
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potential target mechanisms, you will use Mendelian Randomization to determine which associations have causal evidence. The role will involve statistical analysis of ancestrally diverse datasets, writing