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essential. About the Project: Virtual wards - also referred to as “hospital at home” - enable the provision of hospital-level care in patients’ homes through the use of digital technologies that support
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this direction. The project aims to develop a comprehensive approach to software verification grounded in neural certificate technologies. Role Summary The Research Fellow will play a crucial role within the
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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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transcriptomic data have been generated. Application of these technologies will enable the Research Fellow: To identify measurable synovial tissue cellular/molecular parameters that predict flare amongst RA
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over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
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Job Description Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting
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to develop magnetic resonance imaging (MRI) methods to advance electrochemical flow technologies, which are emerging as promising more-sustainable solutions for the global challenges of energy storage
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engineering. Role Summary Work within specified research grants and projects and contribute to writing bids Operate within area of specialism Analyse and interpret research findings and results Contribute
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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confidentiality. Effective time management, IT literacy and organisation skills. Willingness to travel within England to conduct research interviews and engage with stakeholder groups. Desirable: Experience