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Field
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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real-time AI algorithms, data infrastructure management, surgical robotics, and human factors. Work collaboratively with clinical teams at multiple institutions to demonstrate the operation and
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. This involves multiple moderately complex steps. The first is to create GALEX MIS and AIS maps, removing all point sources and smoothing to reduce artifacts. After completion of the all sky map, you will use
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algorithms. The candidate should have the following skills: • Strong technical, analytical, and quantitative abilities; • Strong interpersonal, organizational, and communication skills, and the willingness
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the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world
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microscopy. The ideal candidate will be highly creative, hardworking, and a team player. They will also have the ability to manage multiple projects and students in pursuit of team goals. Representative
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
within it. SFU researchers explore natural phenomena on multiple scales from the subatomic to the cosmic, from a single gene to a multi-celled organism, and from single entities to complex interacting
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Immunobiology research. Develop software, creating query routines, and building relational databases. Possess advanced knowledge of algorithms used to solve problems based on biological information and data using
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, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying existing code bases, and keeping up-to-date with publications. Build awareness
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powerful model platform, the lab aims to develop an integrative understanding of how animals adaptively respond to their sensory world, from molecular detection to the neural algorithms of complex motor