11 power-engineering-"https:"-"https:"-"https:"-"https:" PhD positions at University of Birmingham
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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Applications are sought for a fully funded PhD 3-year studentship position in the School of Chemistry at the University of Birmingham (UoB) in collaboration with the Defence Science and Technology
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constant makes it a powerful probe of physics beyond the Standard Model. The project will combine HCI production and manipulation with cryogenic ion trapping, laser cooling, precision spectroscopy and
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experience in cleanroom microfabrication, actuator design and characterisation, finite element modelling, rheology, ex vivo tissue methods and cell culture. You will work across engineering and life sciences
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future career in healthcare technology. The University emphasises the clinical translation of innovative research to ensure real-world impact through the Healthcare Technologies Institute and the Precision
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
these might change as the research develops along lines that the PhD student and sponsors find particularly compelling): How can we align human decision-making and situation awareness with the processing speed
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or upper second-class honours degree (or international equivalent) in Materials Science, Chemistry, Chemical Engineering, Metallurgy, Physics, Electrochemistry, or a related discipline. Experience in
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accumulation can be limited, we can engineer bacteria to become more solvent-tolerant and thereby generate higher yields of useful products [2]. The project supervisory team comprises Tim Overton (microbial
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proven research experience in proteomics and/or genomics datasets is highly desirable. Strong analytical ability, communication skills and enthusiasm for collaborative research is essential. Application
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for candidates with a background in or demonstrated ability to learn about: Bayesian methods, probabilistic machine learning or inverse modelling. Prospective applicants are encouraged to direct informal inquiries