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with colleagues across the University, and be able to respond flexibly to the demands of the post. Experience of using Panopto, Canvas, Microsoft Teams and eVision, or similar software, would be
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colleges. This post is part of an IT team currently consisting of an IT Officer, a Web Developer, an Infrastructure Officer and an IT Manager. It is envisaged that for the foreseeable future (at least
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, the (Senior) Statistical Consultant will have a broad knowledge of applied statistics and statistical software, with evidence of an ability to communicate engagingly both in writing and orally, and to explain
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for applications, assisting with costing and pricing for applications using X5, the University’s costing and pricing software, and advise on non-scientific matters for applications ensuring compliance with
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also be supported by the central apprenticeship team and you will join our growing network of apprentices within the university. You will have the opportunity to become an apprenticeship ambassador
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network of apprentices within the university. You will have the opportunity to become an apprenticeship ambassador for the University and region. We will provide you with a welcoming and inclusive workplace
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maintenance with advanced IT skills, particularly Excel, and a working knowledge of statistical software, preferably STATA and R. You will have expertise in open science practices and experience building
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friendly and inclusive culture. Diversity is positively encouraged, through our EDI Committee, working groups and networks, for example eng.ox.ac.uk/women-in-engineering, as well as a number of family
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documentation and user support. You will be responsible for leading statistical analysis of numerous projects and you will work closely with other project members to develop software packages and workflows. Where
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element modelling and data-driven multiphysics approaches. Fluency in Python, Fortran, MATLAB and/or C/C++ and prior work with common finite element simulation software are required. You will help create a