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support the development of laminography within our TESCAN X-ray CT scanner. Codes and methodologies have been developed over a period of research which now require consolidating. The aim is to have an
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and coding standards. Monitor completeness and quality; run routine QC/consistency checks; manage data corrections and audit trails. Liaise with recruiting sites, research nurses and international
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of robust, open scientific software. This post is fixed term for 3 years You will develop and implement new computational methods and MLIP workflows, contribute to high-quality, maintainable open-source code
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model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open research outputs. Support and lead
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. You will have; Proven experience with deep learning¿based projects, particularly in machine translation or large language models Excellent coding skills, ideally in Python and/or C++ A relevant
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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multiple researchers, ensuring that research code is robust, reproducible, and accessible. The role is designed to provide broad exposure to modern computational neuroscience and neuro-AI research, with
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independently and as part of a multidisciplinary team. You will have: Proven experience with deep learning–based projects, particularly in machine translation or large language models Excellent coding skills
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, contributing to open and reproducible workflows (code, metadata and documentation) in line with project and UKRI expectations. Prepare research outputs including papers, conference presentations and
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding