Reading, Oxfordshire, United Kingdom Hybrid / WFH Options
Project People
and maintenance of detailed plans for the management of operational spare parts based on service requirements, current state inventory, utilisation, asset lifecycle stage, failure statistics, lead times and incremental service demand. In conjunction with the MBNL Logistics Team, be responsible for the procurement of operational spare parts in accordance with More ❯
Reading, Berkshire, United Kingdom Hybrid / WFH Options
Project People
and maintenance of detailed plans for the management of operational spare parts based on service requirements, current state inventory, utilisation, asset lifecycle stage, failure statistics, lead times and incremental service demand. In conjunction with the MBNL Logistics Team, be responsible for the procurement of operational spare parts in accordance with More ❯
tablets, mobile devices, laptop and desktop PC's Have excellent knowledge and understanding of Microsoft Office Have a basic knowledge of reporting and producing statistics Have a track record of success and achievement in a customer facing role Be able to communicate clearly, convincingly and sensitively, orally and in writing More ❯
Reading, Oxfordshire, United Kingdom Hybrid / WFH Options
IQVIA Argentina
Use and promote established standards, SOPs, and best practices. Provide training and mentorship to team members. Requirements: Bachelor's Degree in Maths, Computer Science, Statistics, or related field. 7+ years of Statistical Programming experience in the Life Science Industry. Strong efficacy experience. Advanced knowledge of statistics, programming, and clinical drug 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 ❯
