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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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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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quality of work is also quality of life. We are looking for support at the Institute for Statistics and Mathematics Part-time, 30 hours/week Starting October 27, 2025, and limited until September 30, 2028
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escrita en español e inglés - Experience in analysing traffic accident data and road safety - Advanced knowledge of spatial analysis and Geographic Information Systems (GIS). - Proficiency in statistical
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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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familiarity with data management techniques and statistical analysis in economics. Where to apply Website https://convocatorias.rrhh.uclm.es/convocatorias.aspx?c=15501 Requirements Research
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; biogeochemistry and fisheries modelling). The PhD candidate will acquire and/or strengthen their understanding of interdisciplinary working, modelling and statistics applied to economics, trade-off analysis skills
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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