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- “Computational and experimental studies on the strengthening mechanisms of entropy stabilized glass-glass interfaces in multicomponent metallic nano-glasses”. Qualifications Applicants should have a doctoral
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development and implementation of deep learning models for the automated analysis of multimodal ophthalmic imaging data; (b) assist in integrating generative AI techniques into edge computing platforms
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with academic background and solid knowledge of Applied Mechanics and Fluid Mechanics; (b) research experience in computational fluid dynamics (CFD); and (c) experience in handling project(s) in
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Mechanics and Fluid Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling publications in the field of Fluid Mechanics. Preference will be given
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primary computational lead of the project, focusing on Density Functional Theory (DFT) simulations to investigate the interactions between carbon quantum dots and polysulfides; (b) apply and develop
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of Applied Mechanics or Control Science and Engineering; (b) research experience in computational fluid dynamics (CFD) or control system development of unmanned aerial vehicle (UAV); and (c) experience
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, attention and creativity metrics to understand the neural mechanisms behind immersive 3D content creation; (b) develop intelligent intervention strategies: • design adaptive systems, including