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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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-supervision of PhD students. The researcher can take part in undergraduate teaching in their expert area. The position will be filled for a 3-year term from 1 January 2027 onwards (or as agreed). The position
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the Quality of AI Agents) under the direction of Prof Hamid Bouchachia. The project will deliver the engineering abstractions, methods and tools needed to support reliable, scalable end-to-end development
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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project, you will develop and validate experimental methods to study wafer bonding in a quantitative and physics-based way. You will work on wafer bonding measurements and combine these with advanced
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the nation. This will be achieved by a balance of formal course work, practical laboratory training, and research projects that encompass both the basic science and the applied aspects of mechanical
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members (monitoring equipment and reagents, managing cell banks, and participating in ordering supplies, where applicable). Participation in the technical supervision of Master’s and PhD students. Where
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software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge of complementary structural and biophysical methods. Specialist knowledge in the discipline
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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Postdoctoral Research Associate to support the work of Prof Fabrizio Nevola. Digital Humanities 3D Developer with expertise in 3D modelling (particularly in Blender, and a familiarity with H-BIM), photogrammetry