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the masses. Meanwhile, developing software for an AI-powered automated imaging farm, which involves robotic and imaging hardware control, experiment planning, and real-time AI-powered data analysis. You will
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environment. The student will investigate the properties of fluorescent probes and how we can use them to develop advanced imaging strategies for the study of cellular processes. The project will focus
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that facilitate walking. It will involve prototype development, biomechanical simulation, innovation, experiments on human subjects, and collaboration with clinical professionals. Supervision:Professor Lanie
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division for particle physics, astrophysics and medical imaging at the Department of Physics. The astrophysics research at the division focuses on analysis and interpretation of observational data of cosmic
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-of-the-art facilities for material characterization, including advanced imaging techniques and mechanical testing equipment necessary for completing and validating the modelling efforts. This project will
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, multiplexed imaging tools to develop spatiotemporal protein-maps of human cells and tissues, under the umbrella of The Human Protein Atlas (HPA). The project focuses specifically on understanding dynamic
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the masses. Meanwhile, developing software for an AI-powered automated imaging farm, which involves robotic and imaging hardware control, experiment planning, and real-time AI-powered data analysis. You will
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Making Under Deep Uncertainties (DMDU) project aims to shift the paradigm from a traditional 'predict-then-act' model, which optimizes based on a single 'best-guess' future (forecast), to a model that