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for existing commercial products. The work will involve numerical investigation of two-phase flows over louvre panels and experimental verification as well as optimal design by using neural network techniques
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Direct integration with the French national CARARE network for rare kidney cancers Strong collaborations with clinicians, structural biologists, proteomics specialists and computational biologists
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multidisciplinary research integrates molecular biology, pharmacology, genomics, computational biology, and translational oncology to identify actionable signaling networks and develop predictive biomarkers
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and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language requirement: Good oral and written communication skills in English English requirements
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experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language