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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them. The selected candidate would disseminate their research by publishing in top-tiered
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, algorithms, and tools critical to VFD’s vision of an enhanced customer offering. The following links provide more information on Knowledge Transfer Partnerships (https://www.ktp-uk.org/ ) and VFD Pro Limited
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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have: a PhD or equivalent qualification (or be nearing completion thereof) in Materials Science/Engineering or another subject relevant to the study, development and/or application of nanostructured
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) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline
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learning, the topology and geometry of data, or the dynamics of learning. The successful candidate should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated
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junior researchers and students. Any other duties appropriate to the scope and grade of the post. Postdoctoral Fellows are expected to lead their own projects, collaborate on others, and guide PhD and
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Fellows are expected to lead their own projects, collaborate on others, and guide PhD and Master’s students. Essential qualifications, experience and competencies PhD (or near completion) in human T cell