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monitoring, earthquake physics, ground-motion modelling, site response, exposure and vulnerability, and probabilistic seismic hazard and risk assessment, working to strengthen Singapore’s national capabilities
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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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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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driving disease initiation and progression, using a combination of mouse models, patient-derived samples, and high-throughput technologies, including next-generation sequencing, flow cytometry, and
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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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Microbiomes Institute — University of South Florida | Tampa, Florida | United States | about 13 hours ago
Institute for Translational Virology & Innovation. Our interdisciplinary approach combines microbiology, immunology, immunometabolism, multi-omics, mouse models, and organoids, with access to patient-derived
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methodology to distribution networks. Select benchmark grids, prepare operating scenarios and AC power-flow reference results, and define model inputs, outputs and evaluation metrics.; 2) Extend the physics
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-targeted therapeutics. The project combines in vitro and in vivo tumour and blood vessel modelling, tissue histology, advanced imaging, single cell transcriptomics and bioinformatics approaches
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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