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. The post holder(s) will lead the Data Analytics in the Smart Built Environment optional module for SEBE and teach on the Energy Data Analytics in the Built Environment compulsory module for ESDA. They will
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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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, with potential for extension. About you You will hold a PhD in a relevant discipline such as biochemical engineering, optical physics, protein biophysics, analytical chemistry or related field. You will
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statistical data and an interest in the ways in which education can teach democratic values. The postholder will be part of a small research team based at UCL and the University of Roehampton and will play a
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a PhD degree in one of the following disciplines: energy systems, data analytics, quantitative methods, mathematics, engineering or other relevant discipline, have commensurate research which includes
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such as R, Stata, Python, or equivalent for data preparation and analysis. You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers
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or industrial research environment, and familiarity with medical imaging data. Excellent analytical and problem-solving skills, along with the ability to work confidently with sensitive and confidential data
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, fluid dynamics, geometry and topology and environmental statistics. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2 years full-time; 2-3 years part-time
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main themes: global HTA economic evidence alongside clinical trials evidence synthesis economic aspects of population health statistical analysis of linked health data decision analytic modeling and
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health, statistics, epidemiology, or behavioural sciences to join our group of PhD students. Methods will include: Secondary Analysis of big data using natural experimental approaches; Qualitative Research