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Sponsorship Queries: This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. Please consult our Skilled Worker
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select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8208F leave the ‘Research Area’ field blank
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8208F leave the ‘Research Area’ field blank select ‘PhD Energy Materials' as the programme of study You
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must at all times carry out your responsibilities with due regard to the UKRI: • Code of Conduct • Equality, Diversity and Inclusion policy • Health and Safety policy • Data Protection policy
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Description here. About you To succeed in this role, you will have a strong working knowledge of SEND legislation and EHCP processes within a Further Education environment, including the SEND Code of Practice
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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This role is full time, permanent Closing date: 23:59 on 22nd February 2026 Presentation date: 13th March 2026 Interview date - 16th March 2026 By reference to the applicable SOC code for this role
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programme of study: Search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic Engineering Select ‘PhD Electrical and Electronic Engineering (full time)’ as the
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will drive continuous improvement through code and automation, using tools such as Puppet, Spack, and GitLab/GitHub repositories to deploy solutions and manage CI/CD pipelines. Whether you are
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) as well as Master’s level training in quantitative research methods (or demonstrable comparable skills). You will have the ability to conduct reproducible (using code) analyses using R or Stata