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Collective Agreement. This role is responsible for supporting and coordinating a large number of ongoing rental agreements, as well as arranging for temporary housing requests as required. Organizational
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analyses and modeling of large planetary data sets including visible and near-infrared imagery, synthetic aperture radar imagery, radar altimetry and LiDAR. The selected candidate will collaborate with
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to contribute to and expand research in planetary science in the Department of Earth, Ocean & Atmospheric Science. The position will involve quantitative analyses and modeling of large planetary data sets
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across multiple servers and data repositories. Maintains and updates Open Learning databases with accurate information. Advises and provides technical support to other stakeholders/sections. Ensures
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-building skills are required; Highly organized with polished presentation, written, and interpersonal skills. Ability to collect, interpret, and present large volumes of qualitative and quantitative data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
students, including registration, financial aid, scholarships, academic assessments, graduation and petitions. It also provides course scheduling, administration of tests and exams, enrolment data analysis
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million held at DLSPH, the School contributes to improving population health and health policy and health systems through discoveries and innovation in data science and AI, maternal, child and reproductive
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
Mississauga delivers registrarial services to support U of T Mississauga's academic goals and U of T priorities in the areas of student information, interpretation of policies, and innovation of registrarial
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 14 days ago
- Parallel Programming (emergency posting) Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution