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, and in accordance with the relevant University regulations, policies and codes of practice, and consistent with the expectations of the Office for Students (OfS) and the Office of the Independent
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a DPhil/ PhD in mathematical immunology or a related discipline, have experience of multiple mathematical approaches applied to biology such as, dynamic systems, agent based, and statistical. Coding
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, users, and researchers, and ensuring code reliability, modularity, and scalability through automated testing and CI/CD pipelines. You will also oversee the deployment, monitoring, and optimisation
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information e.g. data coding, entry validation and reporting. You must have excellent interpersonal skills and experience of working in a multi-cultural environment together with the ability to work
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engagement that invites real participation Make our methods as open as our code – explaining complex processes in plain English You bring Proven public engagement experience with demonstrable impact
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identify causal non-coding changes in the human genome and their linked genes which underlie a spectrum of common diseases. The initial focus will be on non-coding genetics of the haematological cellular
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mammalian cell systems and lentiviral-based technologies for transgene expression and enhancer analysis is required, together with proficiency in UNIX/Linux environments and a strong ability to code in Python
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fire legislation and relevant codes of practice, British Standards and Building Regulations (all Purpose Groups) and able to interpret and advise on the implications for the University. You will also
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proven experience in clinical research, ideally in a patient-facing role. You will bring strong skills in managing medical research data, including data coding, validation, and reporting, with a meticulous
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report to the University Fire Officer and work closely with members of the Estates compliance team. You will be expected to be fully conversant with current fire legislation and relevant codes of practice