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-based prediction. This includes instrumenting a high-power APS torch with video and acoustic sensors, developing machine learning algorithms for feature extraction, and building predictive models
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 1 month ago
, reinforcement learning, diffusion, and flow matching, guided by practical considerations of high-throughput chemical synthesis. In addition to algorithm development, the candidate will have the opportunity
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Laboratory | School of Biomedical Engineering | Faculty of Medicine (Ali Bashashati) Posting End Date November 30, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date
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data sources such as UK Biobank and eventually come up with algorithm useable for the early detection of Alzheimer’s disease (AD) and Parkinson’s disease (PD). Nature of Work: In this project, we will
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of Mining Engineering | Faculty of Applied Science Compensation Range $5,439.00 - $5,910.00 CAD Monthly Posting End Date October 18, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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optimization and coordination algorithms for BC Hydro–cVPP interaction and evaluate grid performance through simulated case studies, and analyze service offerings and pricing via case studies and apply social
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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Research | Hirani MH Promotion in Vulnerable Pop | School of Nursing | Faculty of Applied Science Compensation Range $26.67 - $31.73 CAD Hourly Posting End Date September 3, 2025 Note: Applications will be
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond