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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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. Experience with total internal reflection fluorescence (TIRF) microscopy. Ability to perform image analysis and processing (e.g., ImageJ/Fiji) The following backgrounds are considered an asset or highly
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Change, Glaciology, Modeling, Imaging, Algorithms and Combinatorial Optimizations. Eligibility to hold scholarship funding: Recipients must be offered and accept admission to a UBC PhD program in
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, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological
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. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and
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://www.frontiersin.org/articles/10.3389/fnsys.2021.767461/full Miniaturized head-mounted microscope for whole-cortex mesoscale imaging in freely behaving mice. Nature Methods 2021 https://www.nature.com/articles/s41592