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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
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policies and codes of practice. Contribute to the wider student experience. Support University events such as Open Days, Clearing, registration and graduation ceremonies. Please note that DBS clearance is
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their analytical work with numerical simulations coded e.g. in Python, and present their work in written notes and manuscripts, as well as give presentations to the project team and external stakeholders
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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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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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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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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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and regulatory requirements in respect of equality and diversity, data protection, copyright and licensing, security, financial and other University policies, procedures and codes as appropriate
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with legal duties and regulatory requirements in respect of Equality and Diversity, Data Protection, Copyright and Licensing, Security, Financial and other University policies, procedures, codes and
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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