213 computional-geometry-algorithm positions at University of Birmingham in United Kingdom
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programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide-range of
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of Birmingham Community Healthcare NHS Trust. Facilities The main base will be the Birmingham Dental Hospital & School of Dentistry. The post holder will have full access to office, networked personal computing
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gender. Your commitment to these principles will be evident in every aspect of your role. About the role Working within the physiotherapy programme teams, you will make a substantial contribution to the
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at strain/genomic level, Luminex cytokine analyses Undertake a combination of computational and experimental approaches to study microbiota and RNA signalling across a human time-course interventional study
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Programme (DTP), offering one home and one overseas 3.5-year studentship covering full tuition fees and a standard UKRI stipend. For further details of how to apply, please click on the 'Apply' button above.
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the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach
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/experience in a related field of study. The successful applicant will be a nationally recognised authority in AI (including but not limited to computer vision, natural language processing, optimization) and
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their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development
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validation in representative environments. The successful candidate will gain expertise in electrochemical sensing, microengineering, and computational modelling, and will join an interdisciplinary research
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with long-standing vaccine programmes, disease remains a challenge. In this project the student will use genomic and novel computational approaches to examine the S. pneumoniae causing severe infections