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to which will be added an equal distribution of billing overages. Support for relocation expenses will be offered. Applications will be accepted until the position is filled. Should you be interested in
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experience Minimum five (5) years recent and related experience Experience in applied statistics (multivariate models and distributions, jump processes, inference), e.g. simulation tools such as Monte Carlo
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services Maintaining course information on student information systems Fostering positive relationships with stakeholders Taking and distributing meeting minutes Essential Qualifications: Bachelor's Degree
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
: Liaising with others to coordinate the preparation and distribution of promotional/outreach materials Determining logistical details and activities for events and/or programming Evaluating and recommending
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the Computer Science professional program field. Experience preparing marketing materials for distribution in a global market, preferably for a professional Masters program in Computer Science To be successful in
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. The IRDG office’s mandate is to: Provide reporting and analytics services within our distributed institutional research model: lead institution-wide analysis projects, provide training opportunities
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Cybersecurity. We are especially interested in candidates who have expertise in operating systems, distributed systems, cloud computing, database systems, systems security, network security, blockchain systems
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
distributing course materials, organizing test/exam rooms and materials; ordering textbooks, creating mailing lists for teaching teams, organizing and booking rooms; organizing assignments on online grading
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, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include