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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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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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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
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, econometrics or another relevant field. You will have substantial relevant research experience in complex trait genetics, a proven ability to code and a strong publication record. This is a full time, fixed term
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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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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code