790 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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Developing a Mechanistic and Predictive 'Source-to-Health' Model for Airborne Engineered Wear Particle Toxicity (S3.5-SMP-Johnston)
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for inflammation, oxidative stress, and immune response perturbation. 4. To integrate the engineering source data (wear rate, particle metrics) with the toxicological dose-response curves to create a predictive
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Dynamics Research Group in the Department of Mechanical Engineering at the University of Sheffield, while also being embedded in the Advanced Manufacturing Research Centre (AMRC). This dual environment
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Managing the population dynamics of herbicide resistant weeds
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through their programme. The ideal candidate will have outstanding customer service and interpersonal skills, and an ability to put people at ease through sophisticated and sensitive verbal and non-verbal
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Job description: Are you interested in working on a project looking to deliver cutting edge science and the engineering research required to create carbon neutral, resource-efficient UK steel supply
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Intelligent Transceivers: Heterogeneous integration of radio frequency circuits and digital processing microchips (S3.5-ELE-Henthorn)
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physics with fungal biology. Although primarily experimental, an interest in applying automated computational approaches to image analysis and presentation will be important, as well as a desire to engage
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AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou)
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group)