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production. Candidate Profile: We are seeking an ambitious and highly motivated candidate with a strong background in applied and quantitative ecology, environmental science, biology, or a related field. The
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype
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Type of award Studentship Managing department School of Social Sciences Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) A research training support grant Specified
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or online meetings as needed. All the supervisors are experienced in data analysis and Python programming. Feasibility: The project will mainly require using the outputs of an ocean state estimate to compute
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involve working on plant material from an ectomycorrhizal inoculation experiment, include training in, and the use of, WinRHIZO root scanning technology to assess root architecture. The student will also be
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PhD Studentship: Rolls-Royce sponsored PhD scholarship – Intelligent Mechatronics and Robotics Systems Engineering Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing
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student will be encouraged to share their findings to help inform the design of future sites. Feasibility: The student will collect high resolution multispectral data and geophysical measurements (Weeks 1
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: You should hold a first degree equivalent to at least a UK upper second class honours degree, or suitable postgraduate degree in computer science, human factors, psychology, social science or a health
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instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a