14 phd-biomedical-signal-processing PhD positions at Manchester Metropolitan University
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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel
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Project advert This funded PhD studentship is part of Manchester Met’s strategic investment in developing the next generation of thought leaders. It offers an exciting opportunity to join the
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highly trained scientists. This interdisciplinary PhD will make eDNA analyses easier and quicker to implement by developing a sustainable, paper-based Lab-on-a-Chip (LOC) device that is simple to use and
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processes and while this is a very specific application there are many uses for this type of technology and data. The ability to capture detailed movements of players over the entire pitch takes the landscape
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structure. This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental
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restoration success and flood resilience elsewhere. Current models treat sites in isolation, lacking tools to predict these feedbacks. This three-year PhD will develop and apply cutting-edge numerical modelling
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. This is an exciting project suitable for an enthusiastic and passionate PhD candidate aiming to explore the mechanisms involved in driving anorexia/cachexia and links with the gut microbiome. The successful
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discussion. To apply you will need to complete the online application form for a full time PhD in Sports & Exercise Science Please complete the Doctoral Project Applicant Form , and include your CV and a
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the online application form for a full-time PhD (or download the PGR application form ) in the Department of Life Sciences. Please include your CV and a cover letter addressing the project’s aims and
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Project advert This PhD will pioneer the first species-level monitoring framework using drone-based multispectral data fused with very-high-resolution satellite imagery (Pleiades Neo), powered by