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expertise in security or privacy aspects of computer and software systems. Topics of interest include but are not limited to: cybersecurity, network security, secure distributed computing, language/compiler
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, topographic data, land-cover data, and other environmental predictors. Designs and evaluates statistical and machine-learning approaches for modelling plant species distributions and assessing environmental
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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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collaboration with VSE and CIDER faculty members on research projects in applied microeconomics involving large and complex data sets. The successful candidate will be involved in all aspects of research, from
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, quantum information theory, quantum programming languages, quantum compilation, and classical-quantum computer architectures. Position Description: The School of Computer Science at McGill University
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biomarkers associated with adverse pregnancy and neonatal outcomes. Apply statistical modelling, machine learning, network analysis, and systems biology approaches to large-scale datasets. Perform longitudinal
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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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computer.
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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 2 hours agoprovided by the Engineering Teaching and Learning Team, the Queen’s Centre for Teaching and Learning, the Department, and Smith Engineering. The Department of Electrical and Computer Engineering has 36 full
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multivariate, statistical-genetic or machine-learning approaches. · Research involving developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High