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Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models Applying hybrid modelling approaches to limited data
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excellent interpersonal skills. About You You will hold a PhD in a relevant subject such as Aerospace, Mechanical, Electrical, or Software Engineering for the Research Fellow position, or hold a Master's
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Based in the Faculty of Engineering at the University of Nottingham, this role will focus on electromagnetic design, modelling and validation of microwave heating technologies for the BioIron
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fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
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fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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School/Unit: School of Electrical, Electronic and Mechanical Engineering This advert will close at23:59 UK timeon 26/05/25 The interviews are anticipated to take place week commencing 09/06/25 We recently
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vitro assays of immune function are essential. The current project, which is funded via the MSD/Crick Research Alliance, aims to elucidate the biology responsible for a genetic association with
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flow in hybrid systems: improving the simulation of engineering structures”. As part of the project - jointly undertaken by the University of Nottingham and the University of Salford -, we offer a
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, SimaPro, or equivalent). Work closely with interdisciplinary teams, including process engineers, chemists, and industry stakeholders in the consumer goods sector. Interpret and communicate results through