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of Quantitative Finance and Financial Risk Analytics. Areas of interest include, but are not limited to, asset pricing, financial econometrics, financial machine learning, portfolio optimization
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, intelligent workflows, digital assistants, process redesign, solution architecture, and responsible governance rather than custom machine learning model development. What We're Looking For
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application of quantitative and machine learning methods to health research. The position will report to the Principal Investigators and will work closely with other members of the research team. The
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mathematics, computer science, and engineering. Proposals that include deep or machine learning applications of artificial intelligence are particularly encouraged. Special consideration will also be
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making up to 13 awards in the 2024-2024 cycle. Special Considerations Proposals that incorporate artificial intelligence and machine learning or climate change and human health are of particular
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. Disciplines where we are seeking lecturers in lieu of GSIs include: Computational Chemistry Scientific Computing Bioinformatics Machine Learning/Deep Learning High Performance Computing Complex mathematical
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Optimization Machine Learning and AI Applications in Forestry Automation, Autonomous Technologies, and AI-Enabled Robotics Decision Support Systems for Sustainable Forest Management Integrated Digital
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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