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particular emphasis on kinetic Monte Carlo approaches, and in software development, including version control (Git or similar). Experience in ab initio methods and specifically calculations of excited
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strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
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applications submitted online and received before noon Friday 5th September 2025 can be considered. Please note that you will receive an automated email from our online recruitment portal to confirm receipt
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take the lead on QA and testing activities, ensuring quality outcomes across a wide range of systems. Whether you’re hands-on with manual testing or skilled in automation tools, your expertise will help
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for automated text classification, topic modelling, and entity recognition. You will also assist with statistical and econometric modelling, with drafting research memos, summaries, presentations and reports, and
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of management accounts, annual budgets and quarterly forecasts, while ensuring that strong financial controls are consistently applied. You will be responsible for a range of processing activities, compliance
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automated and manual processing pipelines to enhance clinical diagnostics and patient care. You will collaborate with a diverse team of clinicians, data scientists, and industry partners to integrate cutting
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at lab scale and pilot scale, automation of reactor systems and data recording systems. You will be expected to manage your own academic research and administrative activities. This involves small scale
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will provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. Key responsibilities: • Manage own
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Marburg and Ebola. The team are running pioneering studies on experimental controlled human challenge studies for bacterial and viral infections and phase I-III studies of experimental vaccines to transform