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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with
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, developing cutting-edge solutions for real-world challenges in financial services. You will lead and contribute to innovative research projects in machine learning, synthetic data, LLM orchestration, and RL
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, protocol development and laboratory diet planning. Leading on participant recruitment, data collection and analysis. Supervising a graduate level research assistant to support data collection. To support the
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks
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embryo. Cytokinesis, the division of one cell into two, is crucial for an organism's development and healthy life. Similarities in the structural and molecular organization of the division apparatus in a
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targets. You will take a lead on development of computational approaches to integrate multi-omics data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical