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We are looking for a researcher, whose expertise lies in machine learning or uncertainty quantification, to work with Professor Richard Wilkinson on an EPSRC-funded project entitled “Scaling Cardiac
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and government partners. We are looking to recruit a passionate and committed researcher to drive forward our work on simulating possible transitions away from individualised car ownership. This work
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software
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. To learn more about the Institute for Health and Care Improvement, please visit: yorksj.ac.uk/ihci We offer a range of family friendly and inclusive policies and facilities and welcome applications from
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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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or machine learning. Excellent programming skills in Python and deep learning frameworks. A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and