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Field
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reacting-flow modelling. This is a one-year research appointment, with the possibility of extension subject to satisfactory research progress and funding availability. The successful candidate will work
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to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow
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Apply now to join FAU, where tomorrow begins. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant by
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1. A Ph.D. degree in Aerospace Engineering, Fluid Mechanics, Applied Mathematics, or a related discipline. 2. Demonstrated expertise in turbulence modelling and compressible
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have the potential to transform medicine by providing personalised models of anatomy and physiology that support diagnosis, prognosis and treatment planning. However, creating these models currently
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, combining experimental photonics with numerical modelling and modern machine-learning and optimisation techniques. The research will include coherent beam combination, programmable beam shaping, optical
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aging and aging-associated diseases. We use a combination of models (e.g. C. elegans, mouse, iPSCs) and techniques (e.g. gene editing, nanobody generation, small molecule screens) to identify, assess, and
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been translated into reliable prediction of biological function. Current measures such as model perplexity and structure recovery do not directly assess functional prediction. A key challenge is the
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relaxation, and elevated filling pressures—cannot be measured directly using current non-invasive methods. This project aims to improve the assessment of diastolic function by combining echocardiographic
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(1 month): training in cardiovascular flow phantoms, computational fluid dynamics and experimental flow modelling. FEops, Belgium (1 month): exposure to the commercial application of computational