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honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply, please contact the main supervisorDr William Fitzgerald - william.fitzgerald
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between reliability, performance, computational efficiency, and adaptability under uncertainty. The candidate will be affiliated with CRADLE (Center for Robotic Autonomy in Demanding and Long-Lasting
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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at The University of Manchester and The National Centre for Atmospheric Science (NCAS) showed the fundamental cause of high emissions was identified as dry fuels burning ‘rich’, but the project only used one
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energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in
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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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systems. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. *Solid background in
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example of universality, 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
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for over a century, the fundamental physio-chemical processes governing tree initiation and propagation remain inadequately understood, representing a significant scientific and engineering challenge
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honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Experience with experimental campaigns would also be desirable. To apply please contact