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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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participate in the development of a high-throughput data analysis pipeline and the development and testing of hypotheses. Key responsibilities Leading the development of mathematical models of post
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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to analyse large-scale administrative datasets. Proficiency with statistical software such as Stata, R, or Python for data management and analysis. Strong written communication skills, including the ability
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foundations for future clinical studies. You will design and run EEG experiments, integrate stimulation and recording hardware, and lead analysis of behavioural and EEG data. You should have: ¿ A PhD (or
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and early diagnosis of bowel cancer. The successful candidate may supervise more junior researchers in the statistical analysis or preparation of data. They will be supported by a multidisciplinary
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demonstrate you have: Normally have or be about to obtain a relevant PhD in Engineering, Science or related discipline. 2:1 or higher degree in Aerospace Engineering, Mechanical Engineering or related science
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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of flexible or part‑time working. The Project Working under the supervision of Professor Nicole Grobert, you will contribute to a collaborative research programme focused on applying AI‑driven analysis to in