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ensuring best practices in scientific coding and workflow development are shared and adopted across projects. We are seeking a collaborative data scientist with strong experience in scientific programming in
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undertaken in the UK. For the purposes of sponsorship, this is a role under SOC code 2422. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research
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priorities, and keep a keen eye for detail. Familiarity with relevant policies and legislation, such as the UUK Code, would be a real bonus. If you have first aid or mental health first aid qualifications
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of the most persistent challenges in modern software development: "flaky tests"—automated tests that pass and fail non-deterministically without changes to the code. In this role, you will bridge the gap
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analytical skills, statistical awareness and good attention to detail and will be capable of interpreting and writing code written in MDX, DAX, SQL and .Net. Specific aspects of the role include: Develop
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, and assisting with administrative processes that underpin all three functions. You will help ensure adherence to University policies and procedures and will carry out service quality, codes of practice
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the programme code: 8208F · leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further
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, or materials students wanting to blend fundamentals with real-world impact. Code, physics, and helping to solve the energy challenge, all in one project. About HetSys: Harnessing Data, Modelling and Simulation
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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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Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8030F · select ‘PhD Chemical Engineering (full time) as the programme of study You will