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of Engineering, School of Science and Technology, Nottingham Trent University. The role is funded by a Wellcome Discovery Award from Wellcome Trust. The overall aim of the award is to understand how interactions
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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burden measurements, tissue collection and processing, and/or longitudinal infection imaging is a plus. Additional advantageous experience includes antimicrobial time-kill assays, biofilm models
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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apply them to cutting-edge single-cell datasets generated within the lab and from public resources. There is significant scope to shape the project around your interests, including live-cell imaging, flow
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. The Wellcome Bioimaging project to accelerate cutting-edge bioimaging technology development, is a five-year cross-disciplinary programme, led by Professor Maddy Parsons from the School of Basic & Medical
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, with desirable skills including building or aligning bespoke systems. Strong programming and data-analysis skills (e.g. Python and/or MATLAB) for processing signals and imaging data. The ability
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, utilising mathematical modelling, phylogenetic comparative methods, conceptual and philosophical synthesis, and a variety of computational approaches to understand the evolution of developmental processes
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under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative