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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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postdoctoral researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational
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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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performance analysis, graph-driven deep neural networks, data-efficient machine learning, self-supervised learning, reinforcement learning, online learning, and meta-learning with applications
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systematic reviews and meta-analyses, to synthesize existing data and inform decision-making. Drive the development and submission of high-quality scientific publications in peer-reviewed journals. Collaborate
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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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Are you passionate about cutting-edge fundamental research on molecular and 2D materials heterostructures? Are you looking to pursue your PhD in an excellent, interdisciplinary research environment
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an industry partner you will conduct a series of investigative processes (e.g. systematic reviews, meta-analyses, observational and intervention studies), to evaluate the efficacy and current usage of different
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of research proposals, co-supervision of researchers and PhD students, organization of events, and coordination of research spaces. Main Duties and Responsibilities Perform the following activities in
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oversee quantitative and/or qualitative data analyses, literature reviews, systematic reviews, and meta-analyses Prepare, write, and review research manuscripts, reports, and presentations for internal