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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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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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, 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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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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, 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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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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Optimisation of powder processing routes for plutonium disposition: impacts of milling and additives
) through bespoke training programme of the Hub. How to apply Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your
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to the goals of the national Quantum technology programme. Funding Notes This project is for self funded students or students who have secured external funding only. References https://ldsd.sites.sheffield.ac.uk
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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
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collaborative researcher to lead the design and implementation of both experimental and computational modelling studies. In this role, you will develop innovative diagnostics to measure how various media