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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 9 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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Sciences, the successful candidate will be expected to develop and lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods, including
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courses. The department’s greatest current needs are in operating systems and computer architecture, and applicants with expertise in these areas will be given preference. We also welcome applicants with
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computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis. Proficiency in computational analyses, including running tools on the command line, python programming, R
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computer vision and image processing techniques with experience in real-world applications is preferred.
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. Valid Province of Saskatchewan driver’s license with an acceptable driving record. Experience: Some experience in construction and maintenance of computer based and pneumatic control systems in commercial
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University of Victoria | Victoria Central British Columbia Provincial Government, British Columbia | Canada | about 2 months ago
advances in artificial intelligence, machine learning and multidisciplinary design optimization for the synthesis of next-generation autonomous ocean and marine systems. The successful applicant will: • be
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
simulation and lab learning experiences (e.g., instruction and demonstration of nursing skills) in undergraduate programs; incorporate best practice and evidenced-based research in simulation program
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digital records management systems is an asset ● Proficiency in standard computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis is an asset ● Strong
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
analysis, computer vision or artificial intelligence, have at least 5 years of practical or research experience in AI, have a prior publication record as first or senior author in AI and prior experience