823 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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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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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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Managing the population dynamics of herbicide resistant weeds
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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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Using Generative AI to create design fictions for responsible technology innovation (C3.5-COM-Law)
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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)
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Automotive Polymers from Carbon Dioxide
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project combining cell biology, microscopy and biophysical approaches. You will also gain experience of research dissemination by contributing to writing a scientific paper and presenting at group meetings