703 proof-checking-postdoc-computer-science-logic positions at University of Sheffield
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expectation to contribute to scientific publications and demonstrations. Support will be provided by senior colleagues in the Digital Manufacturing Laboratory. You will have completed a First degree in Computer Science
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing School of Electrical and Electronic Engineering PhD Research Project Self Funded
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computational and offers an opportunity for a student to apply the knowledge of particle and astroparticle physics and detector technology in other areas which are linked to key issues of the contemporary world
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Fundamental combustion chemistry of hydrogen and ammonia fuel blends
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experience, or keen to learn the research knowledge in power systems, cyber-physical systems, computer science, information and communications technologies, and computing and data platforms. The perspective
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agricultural-related applications. The project combines materials science, biotechnology, and circular economy principles, making it an excellent fit for Research Associates who want to work at the cutting edge
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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together with a dynamic and friendly team of researchers across two different laboratories including cell biologists, biophysicists and computational experts. This project will give you the opportunity
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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Modelling and characterisation of chip formation and machining induced defects of nano-particle toughened Carbon Fibre Polymer Composites School of Mechanical, Aerospace and Civil Engineering PhD