13 phd-rehabilitation-engineering-computer-science PhD positions at The University of Manchester in Uk
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, biology or engineering related discipline. To apply, please contact the main supervisor: Prof Jian Lu - J.Lu@manchester.ac.uk . Please include details of your current level of study, academic background and
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treatments. COMSOL finite element modelling software will be used to optimise and tailor the application of electrochemical gradients at engineering surfaces, representative of pond furniture. This allows
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(or international equivalent) in a relevant science or engineering related discipline. To apply please contact the main supervisor; william.fitzgerald@manchester.ac.uk. Please include details of your
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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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-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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. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered depending on the bachelor's/master's dissertation project
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to increase each year. Tuition fees will also be paid. Home students are eligible. A funded PhD studentship is available in the field of computational inorganic chemistry. The project will involve prediction
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a highly motivated candidate with: A first-class or upper second-class degree (or equivalent) in Materials Science, Chemistry, Physics, Chemical Engineering, or a related discipline. Experience in
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, this platform has potential applications in broader tissue engineering contexts, including implantable biomaterials, wound healing, and regenerative therapies for age-related conditions. This 3.5 year PhD project
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic