3 of 3 Statistical Learning Jobs in the UK excluding London

statistics by appointing two Assistant Professors in Applied Statistics or Actuarial Data Science. These are both open-ended positions. Applicants are invited from any area of applied statistics, including statistical or actuarial data science. Those working in actuarial science, Bayesian statistics, statistical learning and/or actuarial statistics are particularly welcome to apply. Candidates who would like … successful candidate, you will lead, carry out and publish internationally excellent research in your field. You will have a strong track record of research in applied statistics, actuarial or statistical data science which includes fields such as Bayesian statistics, statistical learning, actuarial statistics, computational statistics and statistical methodology. You will either be established or have the … with strong postdoctoral research experience and the ambition to build a world-class academic group. You will have the relevant experience to engage and innovate in our specialised actuarial, statistical, data science and financial teaching programmes. The School strongly encourages and supports the generation of industry impact from research, and we welcome candidates with experience of statistical work More ❯

General Theory for Big Bayes" and Grenoble IDEX. Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning provides a theoretically sound framework to … formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art The field of machine learning has recently been much impacted by deep learning. Deep neural networks … time, the theory at the basis of deep neural networks is not yet very well understood and its grounds must be laid out. Although the interaction between these two learning paradigms is relatively under-explored, there is a great potential of cross-fertilisation between the two. Objectives The goal of this project is to contribute new theory and practical More ❯

Additionally, the BAC Sr Consultant will be exposed to the ins and outs of developing data strategies for predictive analytic applications, fundamental skills of big data, data science and statistical learning methods and agile delivery methodologies. Key Responsibilities Drives clear product communications throughout the project/product process to all stakeholders involved regarding scope, timeline issues and any … approach that accelerates speed, agility, and value. We offer: • A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts • Access to world-class learning platforms and award-winning L&D • Clear career paths, internal mobility, and a strong focus on growth • A people-first culture with flexible working options Be part of a More ❯