5 of 5 Statistics Jobs in Oxford

causal inference techniques to address business problems. Work with stakeholders to define requirements for a world-class experimentation platform. Key Requirements Postgraduate degree in statistics, machine learning, or equivalent experience across the data science lifecycle. Deep knowledge of statistical hypothesis testing and ML modeling techniques. Proficiency in Python (Numpy, Pandas More ❯

systems, surveys, audits, and national datasets. Applying appropriate statistical and analytical methods and tools to analyse and interpret data, such as descriptive and inferential statistics, data modelling, and data visualisation. Producing and sharing clear and concise reports, dashboards, and presentations that communicate key findings and recommendations to various audiences, such … systems, surveys, audits, and national datasets. Apply appropriate statistical and analytical methods and tools to analyse and interpret data, such as descriptive and inferential statistics, data mining, data modelling, and data visualisation. Produce and present clear and concise reports, dashboards, and presentations that communicate key findings and recommendations to various More ❯

and algorithms in the fields of bioinformatics, healthcare or other related fields Proficiency with Python for data analysis, pipeline development and visualization Knowledge of statistics (ideally bio-statistics) and data clustering techniques Knowledge of bioinformatics resources and analyses such as functional and pathway analysis Ability to contribute projects through application More ❯

gaming or animation Knowledge of CSS, PostCSS and SASS/SCSS Experience with CSS frameworks – Tailwind, Bootstrap and responsive design techniques Background in mathematics, statistics and/or physics and 3D development is desirable Strong knowledge of platform specific and cross platform capabilities Experience utilising JavaScript build tools such as More ❯

Judith Rousseau Laboratory: Department of Statistics, Oxford University, UK Phone: (0), Email: Webpage: rousseau/Funding Judith Rousseau's ERC Advanced Grant 2018, "General Theory for Big Bayes" and Grenoble IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation … few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason about uncertainty, and it is one of the cornerstones of modern machine learning. At the same time More ❯