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throughout your work. Experience with data analysis, coding, or malaria immunology is desirable, but training will be provided where needed. This role suits someone who is motivated, curious, and ready to
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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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proficient in statistical software (e.g., Stata, Python, R) with strong documentation and reproducible coding practices. An excellent communicator, you will be able to work both independently and as part of a
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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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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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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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to taking up the appointment. The research requires experience in electronic structure theory. Experience in R-matrix theory, quantum molecular dynamics, and the calculation of observables, as well as coding
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality