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. The Role This is an exciting opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions
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opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Senior Researcher to take the lead in the development of statistical and
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37 Faculty of Business, Economics and Statistics Startdate: 01.11.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.10.2029 Reference
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NO2 causes an increase in O3. Statistical methodological developments are required to understand the relationship between air pollutants and health outcomes to account for both the size and nature
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involving complex methodologies and statistical analysis. Your responsibilities will include data management, cleaning, and analysis using advanced statistical techniques, as well as drafting reports and
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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
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problems) and qualitative (structure of level sets) questions in spectral geometry. Our Community You will be joining an outstanding, impactful department of mathematics and statistics. 98% of our research
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 11 days ago
epidemiology, medical statistics or a related discipline. Be proficient at using epidemiological and statistical techniques with a solid understanding of research study design. Have excellent oral and written
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automated feeders), and analyse microbiome composition using 16S rRNA and whole-genome sequencing. Statistical modelling will test for links between microbes and host development and fitness.� PROJECT