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and a central part of everything we do. We also live by our 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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data governance Business process modelling, workflow automation, and low-code/no-code platforms Digital product management and agile delivery methodologies The role will involve contributing to our
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study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need
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compliance, training, and inductions for staff and contractors, and serve as the main point of contact for health and safety matters. You will write and maintain SOPs, risk assessments, codes of practice, and
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solutions, develop machine learning/AI pipelines and deploy these pipelines in production. You can demonstrate experience in programming languages (e.g., Python, R, C++), software engineering (e.g., coding
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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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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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solutions Maintain Critical Systems - Ensure our student services applications are available, functioning optimally, and meeting user needs Develop & Enhance - Produce high-quality, structured code and