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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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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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delay of transition to turbulence. The methodology of the research is theoretical and numerical, i.e. an existing in-house code will have to be modified. This project offers the unique opportunity
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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
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expense codes relating to payroll accounts – working closely with payroll, HR and the FP&A team to improve and simplify processes. Producing the consolidation file for all subsidiary entities – liaising
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high-quality vector graphics, animation, and print layouts and demonstrable ability to code and customise web resources using HTML, CSS, and JavaScript to overcome CMS limitations and build bespoke
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on available: Digital Manufacturing (3D Printing, laser cutters, CNC) Electrical and electronics kits, Assembly and fault finding of electric circuits, Coding of microcontrollers. Workshop machinery (Pillar
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central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study
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professors with lab course preparation ; guide students in code/hardware debugging, digital system testing, and data preprocessing ; support cross-discipline tasks; answer real-time experimental questions
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engineers. You will work independently on coding and analysis pipelines, engage with clinicians and experimental scientists to interpret and present findings, and contribute to study design, data integration