123 parallel-computing-numerical-methods positions at University of Bristol in United Kingdom
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Computer-aided design (CAD) is widely used in engineering to accelerate and optimize the design process. Applying CAD and related computational approaches to the engineering of biology would have a
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We are seeking to appoint two enthusiastic and skilled qualitative or mixed-methods researchers to join the Health Protection Research Unit in Evaluation and Behavioural Science. The postholders
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on a high-volume payroll using attention to detail and excellent numerical skills You can work methodically and are able to plan and prioritise a busy workload with strict deadlines Using logical
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dynamics of two experimental aeroelastic rigs and conducting numerical and experimental bifurcation analysis to explore their nonlinear behaviour. The research will also involve conducting wind tunnel
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14th September if it is filled before then. We encourage you to apply at your earliest convenience to avoid disappointment. You will provision of specialist solutions within hybrid cloud computing
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approaches including multivariate shape analysis, phylogenetic comparative methods, and computational fluid dynamics. The work involves primarily office-based computational research, with some museum
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engineer proteins, and to model protein structure, dynamics and interactions. This will include developing and testing interactive virtual reality methods and interfaces to computational protein design and
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of Ultra Efficient technologies to cut fuel burn and weight, independent of the fuel choice, for a new high build rate product using wing-span as a key enabler. Development of experimental test methods
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learning methods applied to the elucidation of chemical structure, including 3-dimensionality (stereochemistry, conformation) and dynamics, based on spectroscopic data. We are one of the leading groups in
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We are seeking to appoint a post-doctoral Research Associate to support a research programme funded by the Medical Research Council that investigates neural mechanisms underlying susceptibility