3,352 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions in Canada
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research teams from multiple institutions and organizations across Canada to conduct research into causes, mechanisms, prevention, screening, diagnosis, treatment, support systems, and palliation for a wide
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 18 minutes ago
development. Administer experimental and standardized tasks to children and adults in a variety of settings such as schools and in the lab. Communicate with families, schools, collaborators, and other partners
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surveillance, research and knowledge development, knowledge synthesis, translation and education, and public information for the support of evidence-based, effective prevention measures. Injury prevention in
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on Wednesdays and Fridays 11:35-12:55 and labs Mondays 15:35-17:25. This course includes an Introduction to problem-solving methods and algorithm development. Emphasis is on designing, coding, debugging, and
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students to provide career-readiness development through a wide range of services and activities. These activities may include hosting career-related events and speakers related to Liberal Arts majors and
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research teams from multiple institutions and organizations across Canada to conduct research into causes, mechanisms, prevention, screening, diagnosis, treatment, support systems, and palliation for a wide
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platforms Ability to learn website content management systems (Mobirise) Basic graphic design skills using tools such as Canva Ability to work independently and manage multiple tasks with attention to detail
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applicable laws, regulations and codes; and develop and implement programs and standards for the protection, safety and security of University property and in all University activities. Deliver or support the
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machine learning algorithms. It also serves as a foundation for more advanced ML courses. The students will learn about ML problems (supervised, unsupervised, and reinforcement learning), models (linear and
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community wildlife monitoring needs, development of collaborative monitoring programs, data management, reporting, support of implementation of wildlife support measures, capacity building with communities