666 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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The Physics and Astronomy Department is located in the heart of the historical area of Bloomsbury. Scientific research and study has been a strong feature of UCL since its inception in 1826 and the
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. More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk/study/postgraduate-research/areas/forensic-and-neurodevelopmental-science
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of 1st June 2026, to 31st May 2029). The project is based in the Department of History, King’s College London. The PhD student will develop her/his/their own dissertation under the supervision
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/medical-sciences/ and https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our commitment to career development for research colleagues, the University has developed 3 levels of research
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related discipline. A passion for experimental work and capability to develop/apply mathematical modelling techniques will be particularly important for this project. Where to apply Website https
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for emergency response coordination. The work aligns with the UK Government Resilience Action Plan which recognises that the UK cannot perfectly predict how risks will unfold, and across all risks requires common
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considered for funding at a later stage in the recruitment process. Further details about eligibility and funding can be found at: https://www.ukri.org/councils/esrc/career-and-skills-development/funding
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research group of Prof Emily Shuckburgh, as well as being part of the Centre for Landscape Regeneration (CLR). The CLR is an ambitious programme of research that aims to provide the knowledge and tools
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recruitment process. Further details about eligibility and funding can be found at: https://www.ukri.org/councils/esrc/career-and-skills-development/funding-for-postgraduate-training/eligibility-for-studentship
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on the RESPOND Theme within the NIHR Emergency Preparedness and Resilience HPRU, this PhD will develop and evaluate a near real-time surveillance and decision-support framework that integrates routinely collected