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. The project will involve theoretical or modelling work relating to high energy astrophysics and black hole accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo
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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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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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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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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