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. The successful candidate will have a developing professional or academic experience in building and teaching data analytics and machine learning pipelines and play a role in developing modules in areas
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crystallography aspects of our research (predominantly in the area of crystalline materials), while also ensuring integration with the other research areas in the Cooper Group (i.e., robotic automation and machine
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, and a signatory of the Armed Forces Covenant. We are committed to providing a safe and supportive environment for all staff, students and our wider community, and embed Safer Recruitment principles
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GenAI implementation in teaching, assessment, and business operations. Proven experience managing the full lifecycle of machine learning models, including foundation model selection, fine tuning
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About the role – In this post, you will join a collaborative BBSRC-funded project focused on using metabolomics and machine learning to predict lameness outcomes in dairy cows. A typical day may
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the wider, universities partnership we support Higher Education learning and living, ensuring that the interests of all campus users are at the heart of everything we do. It is a fast moving environment
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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delivering an excellent and research-based student experience. They will be engaged in the development of educational thinking, practice and research in the broad areas of curriculum design, learning and
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Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is