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to explore own research interests. We are looking for a researcher with experience of data-intensive projects involving simulations or observations, good knowledge of galaxy formation physics, and the ability
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are looking for a confident, organised researcher who can evidence: A PhD, or equivalent in mathematics or a relevant branch of mathematics, OR near to completion of a PhD Expert knowledge of either theoretical
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is essential, and knowledge of energy finances is desirable. The ideal candidate will also have strong organizational skills and the ability to interact professionally with industrial partners and work
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impact of energy access on people and communities. Knowledge and experience in assessing the impact of project outputs and outcomes against Sustainable Development Goals are highly desirable attributes
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will actively shape the intellectual agenda of their specialist area, driving initiatives that expand the boundaries of knowledge, influence public policy or industry practices, and enhance
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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knowledge gap related to scale-up studies. You will join a dynamic and diverse research group and will be expected to participate in research group meetings, contribute to training and mentoring PhD and MEng