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We are looking for a committed and enthusiastic post-doctoral statistician or data scientist with proven experience of applying state-of-the-art statistical and machine learning methods
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state-of-the-art single-cell and multi-omic platforms. You will also provide training, guidance and technical support to researchers within the institute, helping to integrate computational and
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) Programme, a pioneering initiative that integrates human challenge models, advanced microbiology, and artificial intelligence to accelerate vaccine discovery. The Senior Microbiologist will provide scientific
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FTE, 30 hours per week minimum). About you You’ll have a PhD (or equivalent experience) in a numerically focused field and a strong background in epidemiological and statistical methods. You’ll bring a
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reproducible computational pipelines for HPC/cloud environments. Experience with AI explainability methods, Git repositories, GPU acceleration, and the ability to draft manuscripts for publication are also
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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analytical tools. To be considered, you must hold a MSc in a scientific or numerate subject, or equivalent experience and have substantial experience in data analysis. You will also have excellent written and
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programmes offered by the Department, predominantly the Postgraduate Certificate in Education (PGCE) Mathematics programme, but also the MSc in Learning and Teaching (MLT) and the MSc in Teacher Education
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to facilitate this. This includes for support for care-experienced and estranged students who may require additional funding. In parallel, the role will support the administration of funding for international
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experience on either HPE Juniper Mist, Cisco, HP Aruba, or Aerohive wireless platforms. Excellent understanding of 802.11 wireless standards and applying them to an enterprise environment. Reliable, numerate