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, data sciences, or a related subject, ideally with a focus on utilising large-scale health/biomedical data and the application of advanced data analysis methods such as machine-learning. Equivalent
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things differently – and achieving notable results. As well as expertise in learning and teaching, the Faculty of Health and Medical Sciences is widely recognized for world-class research. We are now
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language learning experiments. Responsiblities The successful candidate will develop and execute a set of data management and analysis tools will enable the diverse international team of researchers
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newly developed COPD treatment could prevent RSV-induced inflammation and cellular changes that contribute to lung remodelling and exacerbations of lung disease. The post holder will contribute to the day
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post-doctoral health services researcher or social scientist with realist review experience, and preferably with a knowledge of genomics, cancer and/or NHS workforce. The researcher will be supported by
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, with a particular focus on marginalised groups. The post-holder will be based at Surrey (under the supervision of Professor Katriina Whitaker and Dr Rob Kerrison) and will join a wider team of academics
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applied cryptography. We offer access to a variety of cutting-edge hardware testbeds including a 7-node RDMA cluster (NVIDIA) as well as machines equipped with persistent memory (Intel Optane) and trusted
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will