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coding, programming, or automated/high-throughput data generation and analysis, and an interest in developing and maintaining an industry-standard automated chemistry facility. You will be well organised
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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 support a busy
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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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, 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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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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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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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