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Proposal The project area is broadly defined, leaving scope for the applicant to develop their own specific research proposal as part of the application. The successful candidate will further develop
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their understanding of food insecurity in specific groups while developing key professional and collaborative skills. How to Apply Please apply through the University of Sheffield Postgraduate Application System . We
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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research from powders to pouch cells (and recycled back) and includes synthesis and pilot line scale up facilities for industrial alignment. The PhD project will focus on the development and characterization
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with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile
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techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills
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developed over the course of the studentship. This scholarship will also facilitate opportunities for the student to present their findings at national and international conferences, as well as participate in
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities