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Field
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. Builds internal code design and development guides for future contributors, Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use
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data analysis and visualization. The faculty member’s research program is expected to develop and incorporate novel algorithms and frameworks, such as deep learning, parallel and distributed computing
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multi-modality and advanced imaging systems. NIH-funded projects on benchtop experimental/ prototype imaging system development and algorithms for advanced and multi-modality imaging. Work on system
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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through development of data and information science, advancing innovative computing paradigms and developing new contextual learning algorithms and methodologies that can transform society. SDSC will serve
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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) at the Institute of Sensors, Signals, and Systems (ISSS) of Heriot-Watt University in Edinburgh. We seek outstanding self-motivated individuals developing world-leading research in either of the following areas
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. Hiep Luong (Dept. of Telecommunications and Information Systems, FEA); Prof. Dr. Thomas Hermans (Dept. of Geology, FW) Project summary In this research, we develop and optimize geophysical survey