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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Applications are invited for a Research Fellow
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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guidance to PhD candidates within the discipline when necessary. Contribute to the development of novel models, techniques, and methodologies. Engage in administrative duties within the university
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expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security and environmental sustainability while working in a
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analytical techniques, with a focus on quantifying energy output and sensitivity to initiation by external stimuli. The project will be jointly supervised by Prof. Colin Pulham in the School of Chemistry at
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life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
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degree in Psychology or closely-related discipline and a PhD (or near to completion) in Psychology that is relevant to the research area Experience of collecting data from children Experience with