205 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" positions at University of Birmingham
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Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and
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work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full
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context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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multiple disciplines, and offers the opportunity to contribute to cutting-edge translational research with direct clinical impact for both civilian and military populations. The Research Associate will be
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people from across the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham
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-leading database of MRI images of childhood tumours and have developed AI approaches to diagnose different types of tumour. To be useful for patients, this needs to be delivered in hospitals in real time
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to attract talented people from across the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading
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objectives to raise the profile of the research activity within the NIHR Maternity Disparities Consortium both internally and externally. This strategy will need to be developed with multiple stakeholders