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biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries with clinical implementation. Vancouver is a vibrant coastal city located on the traditional
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 24 hours agoPosted: September 15, 2026 Tenure-Track/Tenured Faculty Positions in Supercomputing/ High-Performance Computing Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor
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of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . A Research Assistant/Technician position for developing molecular tools and techniques in high-throughput enzyme characterization is available in
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, visiting trainees, and research assistants, including technical training and day-to-day guidance within research projects. Minimum Qualifications PhD (or equivalent) in neuroscience, immunology, stem cell
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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found. The initial position is for 1 year, with possibility for renewal for an additional year upon satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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Qualifications PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years. Demonstrated experience in health data visualization, interactive