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approaches, while the Berlin University Alliance (BUA) project will employ (superresolution and time-lapse) fluorescence microscopy approaches. The two projects will investigate the conjugation process in
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the individual PhD Programs Biomedical Engineering Innovation PhD Program The Biomedical Engineering Innovation PhD Program is a multidisciplinary research training initiative. It is a supplementary learning
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to employ the density functional theory, machine learning interatomic potential, molecular dynamic simulations, and Monte Carlo simulations for the much-needed knowledge of how some typical solute atoms
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-based optimization design framework is proposed to solve the problem of UAV-USV cooperative control. Develop data-driven optimization technology to solve the control problem of UAV and USV under uncertain
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biomedical engineering. Demonstrated ability to work independently and as part of the team. Demonstrated time and project management skills. Demonstrated ability to write research reports or other publications
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research was fundamental, rather than applied. As a scientist, my findings enabled researchers to better understand their reactions, and engineers to build better products and processes. For example, I
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fluctuations with resolvent analysis’ in its use of resolvent analysis; however, while this project is focused on the use of machine learning for turbulence and noise models, the SJTU-based project is focused
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generated by nuclear spins within the sample (usually from water molecules within our body in the medical case). Thousands of these machines, which use very large superconducting magnets, are used every day
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devoted to studying different aspects of applying a novel treatment approach, combining psychosocial training along with non-invasive brain stimulation to improve outcomes related to mental health and
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, candidates will specify which home institution they wish to apply for. The University of Melbourne-based project: Probing the structure and function of carbon clusters The Melbourne-based project is concerned