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plan and implement components of programs and activities and will be responsible to conduct detailed analysis on program efficiency and student learning outcomes, which will inform program planning
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) and dynamic spread models for invasive forest and agricultural pests, integrating multi-source ecological data using machine learning and statistical approaches. Develop and validate phenological models
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days ago
program development and evaluation. Must have strong computer skills, including the use of Microsoft Word, Excel, PowerPoint, Adobe Acrobat, and email software, as well as an ability to adapt to and learn
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or instructors 24 hours in advance if unable to attend scheduled workshops. ML & NLP: Preferably those with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine
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emerging technologies such as machine learning and artificial intelligence. In addition, the ideal applicant will have excellent communication skills and have demonstrated capacity and aptitude for effective
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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help them estimate technical support man-hours and cloud computing costs for their corporate-sponsored analytics projects. The role involves helping students plan their cloud deployment, machine learning
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a