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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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outputs. Experience in cardiovascular MRI, cardiac diffusion tensor imaging, and machine learning or deep learning methods applied to imaging is highly desirable. You will be a collaborative and motivated
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for the AiTASHA project. We welcome applications from candidates who: Have research expertise in statistics with a strong mathematical foundation. Have experience in AI, machine learning or deep learning, and
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, install, commission and maintain compute and data storage resources supporting the research of the Institute, including Machine Learning. • Assume technical and organisational lead responsibility for one
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/postgraduate courses as well as administrative, assessment and exam duties as required. This post will support learning and teaching in the subject area of applied biomechanics particularly related to sport
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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Intelligence (GenAI) can support people with learning disabilities in their daily lives. This innovative project explores the potential of using GenAI to support the daily lives of people with learning
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insights into datasets. Apply machine learning methods to integrate multi-omics data with real-world clinical outcomes data. Provide assistance to the research group in dataset management, upload to public
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insights into datasets. Apply machine learning methods to integrate multi-omics data with real-world clinical outcomes data. Provide assistance to the research group in dataset management, upload to public
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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant