18 development-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"embl" PhD positions at The University of Manchester
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of developing low-risk, high-performance geothermal energy solutions. The PhD will examine high-density polyethylene U-tube systems suspended in minewater voids, focussing on: i) their comparative performance
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behaviour, enhanced damage tolerance, and superior performance under complex and uncertain loading conditions. This PhD project aims to surpass conventional periodic design by developing a new generation of
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protein synthesis platforms. You will then study the modified proteins for their biophysical properties and reactivity, and for their potential in chemical biology, therapeutic development and biomaterials
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longer rely on the assumptions on which conventional protection was designed. This PhD project will develop protection methods that remain reliable regardless of generation technology or converter control
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. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models to address these combinatorial decision
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safety concern: they can generate significant heat and damage, critically compromising system redundancy and operative ability. This PhD combines industrial and academic expertise to develop next
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computational fluid dynamics (CFD) simulations of blood flow through arteries and develop a cutting-edge super-resolution framework using convolutional neural networks (CNNs). The ultimate goal is to vastly
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simultaneously developing the skills, experience and profile required for a future career in academia. You’ll leave with both a PhD and training in higher education teaching with the opportunity for accreditation
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removed before the deadline. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will
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will develop nanoscale devices which use magnons (collective excitations in magnetic order) as information carriers for ultra-efficient, compact, brain-inspired computing. This project is positioned