62 computer-security "https:" "https:" "https:" "https:" positions at University of Sheffield
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designing control systems that offer guarantees of safety and constraint satisfaction. The project will research the theory and computation of invariant sets, and their application to new control problems
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of Manchester and Sheffield (PuMaS), focused on underpinning the development of ceramic materials and technologies for the safe and secure disposition of the UK’s inventory of plutonium. This represents one
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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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applied relevance: parasitic weeds pose a major threat to global food security, and understanding their regulatory mechanisms may inform future control strategies. Training & Skills This project offers
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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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, with the exception of hours of work and annual leave which will be those of Cocooncarbon Ltd. Main duties and responsibilities Design and implement a programme of work to gain fundamental understanding
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Professional Services colleagues in supporting the University’s wider strategic ambitions, and will lead the Campaigns and Alumni Relations team to deliver ambitious fundraising targets, secure transformational
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collaboration with diverse communities, researchers, clinicians, and policy experts. You will work alongside a multidisciplinary team and use both qualitative, quantitative and computational modelling methods
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applicants with previous training in ecology, agriculture or computer science. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self
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Stage(s) assessed at A strong STEM degree (e.g., engineering, physics, chemistry, materials science, computer science, mathematics) or equivalent experience demonstrating a robust understanding of