9 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques for generating high-resolution climate projections. In addition to developing
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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emerging multi-omic measurements to build and test machine-learning-based multimodal risk prediction tools. A key element of the role will be to explore how different data types and AI-derived features can
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
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An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians
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). Working with colleagues across the University and in the local NHS, we have strengthened our position as a renowned centre for translational research, leading innovative learning and discovery for better
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the opportunity to present updates to the wider project team. The role will also engage with a range of external stakeholders, including academic researchers, Funders, learned societies, and industry clients
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epistemology. Knowledge of Kierkegaard would be an advantage, but is not required. A willingness to engage with and learn more about the areas of the project not in your primary areas of expertise is a