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and leading journals, and to undergo additional methods training. About You Educated to doctoral level in political science or a cognate discipline, you will be proficient in quantitative research
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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of this position within the team is the experimental work on decontamination of porous materials, although it is also expected that the successful candidate will contribute strongly to the analytical and numerical
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use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories on the electrosolvation force under development in
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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), using ethnographic and qualitative case study methods under a cross-cultural research design. Fieldwork duties will include: cultivate and maintain relations with key informants, gateway contacts, and
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quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s research community with access to internal research seminars and other
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to projects involving designing, conducting, and disseminating health economic studies using prospective research study or routine data, decision analytic modelling, health outcome assessment methods and other
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able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to demonstrate skills and
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of new contexts and methods of education in late antiquity. The postholder will also be expected to co-organise and take part in project-related events and activities. About you Applicants will possess a