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Faculty of Environment, Science and Economy This new part-time (0.1 FTE) post is available immediately on a fixed term basis until 31 August 2026. The role You will contribute to teaching in one
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fully funded 4-year PhD position with a teaching component (~1 year of full-time teaching spread across the 4 years) at the Centre for Developmental Science and Centre for Human Brain Health and, School
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About the department The Department of Economics at Royal Holloway, University of London is a centre of research and teaching excellence. The department consists of approximately 30 academic staff
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). The School of Architecture, Building and Civil Engineering aims to be the world’s leading integrated centre for built environment research, education, and learning, and is committed to investing in the next
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– has not operationally changed in many decades. This project seeks to develop new technologies that lead to step-change increases in ion exchange efficiency for modern, modular treatment units
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staff position within a Research Infrastructure? No Offer Description To develop a novel adaptive embedded hardware system, which will be equipped with a low-level hardware monitoring system together
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PhD Studentship: How Does Spatial Organisation Impact Host-microbiome Interactions in Human Airways?
previously inaccessible . This proposal aims to develop an in vitro human airway microbiome model and use it to understand how spatial organisation impacts microbial-host cell interactions. The student will
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Stipend equivalent to the UKRI doctoral stipend, currently £18,622 per annum. Teaching and research opportunities, which will be paid in addition to the stipend. Eligibility: Open to UK/EU and overseas
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starting in October 2024, January 2025, April 2025 and July 2025. Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other
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Learning Model Development: Develop a sophisticated machine learning model to analyse the integrated data, identify patterns of biomass loss, and categorise these as mortality events. The model will be