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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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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
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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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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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, including ELISA, flow cytometry, neutralization, and T-cell assays Vaccine development and formulation In vivo models Cancer biology, tumor immunology, or infectious disease models Quantitative analysis
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internal secondment opportunity which would need to be agreed by your current line manager. Background Applications are welcomed from candidates in Europe and other overseas countries. Financial support for