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a focus on meat and dairy promotion. In partnership with Adfree Cities, the student will investigate: (1) the link between advertising exposure and mental health using large-scale secondary data and
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satellites to be much larger than ever before, enabling applications previously considered to be science fiction. Space-based solar power (SBSP) will require satellites with dimensions at the kilometre scale
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. The project will thus reveal whether bacterial factors are driving the recent increase in CDI rates. This information can be used to develop novel prevention and treatment strategies. This project is part of
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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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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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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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Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership
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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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/Certificates to date For further information please contact: feps-pgr-apply@soton.ac.uk The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN