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interpretable autonomous experimentation systems remains a major research challenge. The successful candidate will develop reinforcement-learning and decision-making algorithms for autonomous laboratory platforms
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 20 hours ago
research and design, and develop, assess, and attack cryptographic algorithms and protocols. We’re looking for passionate people from a variety of backgrounds who: • have a blend of math and coding skills
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Consortium (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
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
quantum circuits building on a successful process already developed by Salfi’s team in the QMI Nanofab facility [1]. Experimentally investigates and optimizes the performance of novel multi-quantum dot
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Introduction to Electric Power Systems EE271 Materials and Heat Transport in Electrical Engineering EE342 Transmission of Electrical Energy EE365 Algorithms and Circuits with Finite Precision Arithmetics EE382
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of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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Consortium (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
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: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience