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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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field high-speed microscopic imaging Experience with control and synchronization of high-speed imaging and lighting systems Experience with image post-processing and data extraction Personal
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key role in driving high-impact research, developing innovative objectives, and formulating proposals within cutting-edge fields, including Computer Vision, Digital Healthcare, AI Optimization, and
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in robotics, machine learning, battery systems or a related discipline to deliver project outcomes, build productive research partnerships and contribute to high-quality outputs. You will have the
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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, imaging, machine learning and electrochemical engineering. Current collaborators include UNSW Sydney (Australia), Shenzhen University (China), Eindhoven University of Technology and University of Groningen
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-quality research and experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via
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-particle Electron Microscopy (cryo-EM), including data acquisition, image processing, three-dimensional reconstruction and structural analysis Practical experience in a biochemical laboratory and/or handling
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of bioelectrochemical systems, electrochemical engineering, resource recovery and sustainable battery recycling. The project aims to translate a laboratory-validated lithium recovery process into a continuous-flow
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision