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mortality in aging populations, making this work a critical public health priority. The successful candidate will work in a collaborative environment that bridges academic research and industry application
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Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in
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critical public health priority. The successful candidate will work in a collaborative environment that bridges academic research and industry application, thanks to our partnership with a dynamic startup
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organisation The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry
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systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing on the development and performance assessment of externally bonded CFRP reinforcements using
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both institutions and industry partners. About the Project You will join FabricFlow – an innovative AI-powered ecosystem that revolutionises how fabrics are tracked and managed in the fashion industry
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for accelerated deployment of new medicines”, is funded by EPSRC and supported by 6 industry partners. The project is developing spatial tissue patterning methodologies to control cellular and matrix
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our international academic and industry partners. The successful candidate will be embedded within Nordcee , an international research section focusing on biogeochemical cycling, earth evolution, and
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the availability and reliability of critical and complex high-tech systems, like machines used in the semiconductor industry or industrial printing machines, intelligent diagnostics to identify faults is of crucial
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the Alliance for Therapies in Neuroscience (ATN), a research partnership between academia and industry to transform the fight against brain diseases and disorders of the central nervous system. The successful