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quantitative statistical analysis, and competence in using R studio or SPSS, and a good understanding of conducting quasi-experimental research methods . You should be a strong communicator and be comfortable
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experience in numerical modelling and analysis, particularly in optimisation and/or complex mechanical systems simulation, as well as having a solid understanding of aircraft design and aviation in general
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programming languages such as C#, Python, and C++. Experience with data analysis techniques and AI methods. For informal queries please contact: Dr. Patricia Cornelio - patricia.cornelio@bristol.ac.uk To find
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Advisory Group (LEAG), and local implementation teams at all five participating NHS Trusts. The Fellow will lead the day-to-day coordination, delivery, and analysis of two rounds of implementation evaluation
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develop pre-existing skills. There is a clinical component including out-patient work at King’s College Hospital (two clinics per week) under the supervision of Prof Philip Newsome. This is a full-time post
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analysis to join a dynamic team that has, for the past 8 years, developed an extensive body of research on corruption, governance and anti-corruption strategies. In the Accountability in Action project
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systematic reviews and become familiar with statistical analysis. They will also contribute to undergraduate and postgraduate teaching. This is a full-time post (40 hours per week), and you will be offered
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design, statistical analysis, and results reporting. The role will also involve planning and managing project activities, building research skills and networks, and engaging with academic and industrial
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community, all while developing your research skills and fostering collaborative partnerships. Your responsibilities will include: Conduct Research and Analysis: Undertake research design, data analysis, and
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compatible with those of our current faculty in the algebra, combinatorics, geometry, history of mathematics, logic, number theory, functional analysis, stochastic analysis or topology groups, or the Oxford