632 phd-in-architecture-interior-design-built-environment Postdoctoral positions in United Kingdom
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conferences • Conduct literature searches and reviews • Attend conferences/workshops and present papers as required You Should Have: • PhD or near completion of a doctoral degree in a relevant
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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to the newly built Fitness and Wellbeing Centre located on site (gym, badminton, climbing wall, Zumba, yoga, and Pilates classes included) Cycle to work scheme. Free mini-bus service to and from Potters Bar
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. Attend conferences/workshops and present papers as required. You Should Have: PhD or near completion of a doctoral degree in a relevant subject Recent experience in research within higher education or
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are expected to work as a close-knit team together with three PhD students to create a mutually supportive research environment. Candidates must be enthusiastic about building and working in a large
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and delivering the Mile End Institute’s research agenda, with particular responsibility for its flagship project – Polling London . This will include designing and analysing bi-annual opinion surveys
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Change Institute, School of Geography and the Environment, University of Oxford. The post holder will have responsibility for developing research on the ecology, climate change and remote sensing
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, see: https://www.cell.com/cell-metabolism/pdf/S1550-4131(19)30248-7.pdf https://pubmed.ncbi.nlm.nih.gov/38879728/ Key responsibilities and duties: Study ethical approval application. Study design
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software