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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
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
, and approximation algorithms. The successful candidate will be expected to deliver a course similar to the outline presented here: https://www.utsc.utoronto.ca/~bretscher/c63/lectures.html
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-world mechanical and electromechanical systems. A successful candidate is expected to demonstrate the deep expertise required to develop and apply AI algorithms that interact directly with physical
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 15 days ago
. • Disseminate research results through technical reports, presentations, peer-reviewed publications, and software contributions. • Maintain situational awareness in research developments and provide advice and
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prototypes. Signal Acquisition & Processing Develop acquisition pipelines to capture vascular motion during CPR. Implement signal‑processing algorithms to extract markers of blood flow. Model Development
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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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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum