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Agreement , and offers a comprehensive benefits package . The Department of Electrical and Computer Engineering in the Faculty of Engineering at the University of Alberta is seeking applications for a full
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personnel and service workers that provide trusted services and stewardship in support of teaching, learning, and discovery. This team is responsible for operations, maintenance, service, utilities
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willingness to maintain up to date on all these is an asset; excellent computer skills including a high-level of proficiency in PowerPoint, Word, Excel, Outlook, Microsoft Teams, Zoom, and willingness to learn
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, nonparametric modelling, sampling and data collection, spatial and temporal data analysis, statistical finance, or unsupervised/semi-supervised machine learning. The candidate will be expected to teach and
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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
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with others; ability to effectively train students; self-motivated with the ability to work independently; possess a positive and collaborative attitude; willingness to take additional training and learn
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 1 month ago
, the successful candidate will lead forefront investigations of quantum materials with the state-of-the-art TR-ARPES machine at ALLS. Responsibilities include (but not limited to): Propose and lead TR-ARPES studies