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/or HCV. You must have experience of developing, parameterising, and coding up cost-effectiveness models (using Matlab, R or similar), and the ability to design and undertake modelling experiments
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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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, Flow, security model (profiles/permission sets), and oversight of custom code where needed. Strong understanding of enterprise architecture and integration patterns, including API management, functions
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drink receipt procedures are carried out and correctly recorded. Conform and adhere to all Health/Food Safety Codes of Practice and Control of Substances Hazardous to Health (COSHH) regulations at all
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code. The successful candidate will work on techniques to identify, reproduce and repair flaky tests, drawing on a variety of techniques. For example, mutation analysis has recently been shown to induce
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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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regulatory requirements in respect of equality and diversity, data protection, copyright and licensing, security, financial and other University policies, procedures and codes as appropriate. To perform
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of equality and diversity, data protection, copyright and licensing, security, financial and other University policies, procedures and codes as appropriate. • Take reasonable care for the health and