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. psychometric properties; use of R; Growth Curve Analysis; General Linear models). Thanks to your excellent communication and organisation skills, you will liaise with the different teams working on this project
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development of integrated techno-economic and life cycle assessment models, incorporating uncertainty analysis and multi-objective optimisation to evaluate and optimise the cost, carbon footprint and resource
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of large data sets, the design and integration techniques to enable data validation, integrity, analysis, output validation and reporting. Developing integrative strategies for a diverse set of data
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these outcomes vary between those who studied abroad and those who did not. In addition to secondary data analysis, the project also collects and analyses data about study abroad from case study universities
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in all of the component techniques but demonstrable experience in a number of the aspects is required. It is expected that the postholder will have: completed, or be close to completing an experimental
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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 an fixed term contract until 30th September 2027
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analysis. Evidence of experience in research leadership, the support of grant submission, external collaboration, and effective project management is also required. What we offer: Aston University is a
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. The research fellow will contribute to other research studies being performed by the group, undertake systematic reviews and become familiar with statistical analysis. They will also contribute to undergraduate
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author publications Ability to manipulate/analyse large datasets efficiently Understanding of genetic/epigenetic epidemiology Strong statistical analysis skills Apply Before: 24/11/2025, 23:59
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the grade. Your skills and attributes for success: Expertise in qualitative interviewing and qualitative analysis Ability to communicate complex information clearly, in writing and verbally, for academic