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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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of healthy aging using cutting-edge single-cell and AI-based tools, as well as population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality
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experimental tests and characterisations to provide data and understanding of non-irradiated graphites (effects of processing and the environmental history such as oxidation and salt infiltration). This will
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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. The supporting statement should explain how you meet the essential criteria for the post using clear examples. Please click here for information and advice on writing an effective supporting statement. Further
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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be
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, London and Oxford). Working closely with the senior research team, you will conduct and manage research, including study set up and ethics, recruitment, consent processes, and data collection, monitoring
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://hr.admin.ox.ac.uk/staff-benefits for more information. Application Process “Committed to equality and valuing diversity” The post is Full time and fixed-term for 3 years in the first instance. Applications
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• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques • Collaborate in the preparation of scientific reports and journal