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Field
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Join Harper Adams University and play a key role in supporting students studying through our partnership with the School of Coding and AI (SoC). Working closely with colleagues across both
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Developing a non-coding RNA predictive biomarker in bladder cancer School of Medicine and Population Health PhD Research Project Competition Funded Students Worldwide Dr Jonathan Griffin, Dr Dan
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of efficient and adaptive LLM architectures and explore its applications across long-context understanding and reasoning (for code, maths, and agentic workflows) as well as long-horizon multimodal world
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Next Generation Sequencing (NGS) data, applying state-of-the-art parameter inference techniques. The role will also involve creating robust, efficient, and reproducible computational code capable
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maths, science, coding), and (3) world modelling for multimodal planning and simulation. Adaptive FMs thus open a path towards more efficient and more capable generative AI. Within the project, you will
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parameter inference techniques. The role will also involve creating robust, efficient, and reproducible computational code capable of running at scale within high-performance computing (HPC) environments. In
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of medical data and operation of complex databases and information systems in order to code and abstract medical data and routine data entry. Record and code incoming forms etc, checking for inconsistencies
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Full time, permanent Interview date - Wednesday 4th November 2026 By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants
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to biomedical research.* Significant experience in R or Python with a track record of developing programs and scripts conforming to common coding standards. Minimum criteria* About Working at the Crick Our values
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software to modern .NET environments, including .NET Core and .NET 8+. This will involve refactoring applications, managing dependencies, migrating source code and hosting components, remediating