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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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economics, statistics, or a related quantitative discipline and have strong analytical and coding skills. Experience in evidence synthesis, economic evaluation, or infectious disease research would be
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of accelerator physics modelling codes such as Accelerator Toolbox or ELEGANT would be an advantage. The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and
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, building, programming, testing, and maintaining a large fleet of robots and systems. You will have a background in developing, deploying, and maintaining code which interfaces with hardware. You will have
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professional and proportionate manner, 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
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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