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Professional Studies in Analytics is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential
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research program in computational oncology, centred on new quantitative and machine-learning methods, including artificial intelligence and generative modelling, that integrate single-cell genomics and
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, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries
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successful candidate will bring expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire
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Northeastern University | Vancouver (Waterfront / Coal Harbour / Canada Place), British Columbia | Canada | 11 days ago
on-ground in Vancouver. Responsibilities: The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis on applied machine
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faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry
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Experience with health data, mixed-methods research, evaluation frameworks, and applied AI/machine learning Understanding of ethics, equity, and policy considerations in digital health and AI Knowledge of
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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
of academic excellence in 2018. Job Summary University Libraries support learning and research by providing access to information, resources, and services. Reporting to the Manager, Library Services at
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University of Victoria | Victoria Central British Columbia Provincial Government, British Columbia | Canada | about 1 month ago
application of recent advances in artificial intelligence, machine learning and multidisciplinary design optimization for the synthesis of next-generation autonomous ocean and marine systems. The
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complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; laboratory-based biomarker discovery and validation using maternal and neonatal biospecimens