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Eligibility criteria - Education: Ph.D. degree in Robotics, Control, Optimization, Machine Learning, Computer Vision for Robotics, or related fields. - Technical Expertise: Strong background in optimization
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conditions, anemia, smoking cessation, diabetes optimization, nutrition, pain management, perioperative geriatric considerations and obstructive sleep apnea screening. Position requires screening for all
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executing enterprise LMS priorities, governance, scalability, and platform optimization. The incumbent maintains accountability for reliable day-to-day LMS operations, including user, content, enrollment
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Engineering Computer Sc. Demonstrated evidence of developing Machine Learning and Optimization models for Air Traffic problems. Two years of working experience in Machine Learning and Data Science Strong
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action. Coordinates clinical program activities with other departments and staff to ensure optimal efficiency. Serves as a main point of contact to facilitate communication between stakeholders. Develops
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in uncertain environments such as stock portfolio optimization. The lab does not specialize in applied data science projects or computational social science research. Candidates whose primary interest
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optimization aspects to be at the forefront of our accelerated material discovery/process optimization platforms at the NRC Research Facility in Mississauga. The selected candidate would be someone who shares
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TensorFlow. The successful candidate will be able to develop, implement, test, troubleshoot, and optimize AI/ML solutions; automate analytical workflows; investigate complex computational or system issues
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management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside a multidisciplinary team of
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. The postdoc will engage in research including, but not limited to, the following areas: • Mixed-Integer Linear / Quadratic Programming for large-scale decision-making problem • Non-Convex Optimization and