368 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" PhD positions in United Kingdom
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
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strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
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apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/53941 . For informal enquiries, please contact Professor Florian Hollfelder via
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or
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Search’ to identify your programme of study: 8030F select ‘PhD Chemical Engineering (full time) – 8030F' as the programme of study You will then need to provide the following information in the ‘Further
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information processing inefficiencies? A phenomena we have dubbed the bilingual communication “paradox”. It is clear that understanding how and why people voluntarily switch languages remains a key issue in
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the deployment of immersive technologies in user experiences, simulation and engagement. Key Contact For further information and informal enquiries regarding the role, please contact Professor Chris Bussell, Pro
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for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
for this vacancy and to view further information about the role, please click the 'Apply' button above. Please ensure that you upload your Curriculum Vitae (CV; including a list of publications) and a supporting
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent