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Field
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Faculty of Engineering In this leadership role, you’ll work in close collaboration with partners to lead the creation of a modular, open exo-atmospheric and re-entry hardware-in-the-loop environment
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, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part
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that the structural models use high-fidelity aerodynamic data to compute the aerodynamic loads and inform the overall system design. About You You will hold a PhD (or close to completion) in aerospace engineering
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Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a
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or spatial transcriptomic data analysis Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD is required within 6 months of employment. The ICR has a workforce
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candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or be about to obtain (evidence of submission or awaiting viva exam) a PhD in
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own area that those with protected characteristics are treated equally and fairly Desirable: PhD (or near to completion) or equivalent industrial experience in relevant technology area e.g. water
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have a first degree in one of the following subjects; biological sciences, environmental science, ecology, geography, soil science or agriculture, and a PhD in soil science, sustainable agriculture, agri
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable