19 postdoc-in-thermal-network-of-the-physical-building PhD positions at The University of Manchester
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so, you will play a key role in advancing hydrogen turbine technology and supporting the global transition toward green energy and net-zero emissions. Why this project is unique A major highlight of
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will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on the tight coupling between body dynamics, sensing, and
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to build molecular machines and new materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures
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manufacturing adaptive clothing at scale. This PhD project seeks to address that gap by developing an engineering-led framework for adaptive and inclusive apparel design. Bringing together design process thinking
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to also improve and scale the process. We have made major contributions in this area, including the use of Machine learning to discover new cryoprotectants [Nature Communications 2024, 15, 8082
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computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use
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This is a fully funded project for home students, funded by NTR-Net. The funding will cover tuition fees and provide a tax free (depending on circumstances) stipend based on the UKVI rate (£19, 237
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some