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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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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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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
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- trials within the industrial environments selected within the project. About you You will hold a PhD or equivalent and will already be demonstrating potential for research excellence in your postdoctoral
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chambers. We welcome applicants from diverse backgrounds who meet the following criteria: A PhD (or equivalent) in acoustics, mechanical engineering, physics, or a related field. Substantial and