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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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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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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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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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licensing, security, health, safety, environment and wellbeing, financial and other University policies, procedures and codes as appropriate. To provide a service to customers during arrivals / departures
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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
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, experience in clinical trials or medical research, familiarity with regulatory standards (e.g. ICH GCP, 21 CFR Part 11), and knowledge of clinical coding systems (e.g. CDISC, ICD) would be an advantage