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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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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
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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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
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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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, 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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collaborative scientists and external companies. Candidates must hold or expect to shortly obtain a PhD, or equivalent in Chemistry, Chemical Engineering or similar Science / Engineering degree and/ or have a
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate social science degree level qualification and a PhD (or be about to obtain a PhD, which
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Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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reporting results. To be considered for the role, you will have a PhD (in Business & Management or Engineering/ Manufacturing) and have significant relevant research and professional experience in