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Carleton University | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 22 days ago
international reputation as a leader in collaborative teaching and learning, research, and governance. To learn more about our university and the City of Ottawa, please visit www.carleton.ca/provost. Carleton
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collaborations with the NHS, government bodies, and industry—particularly within the region's flourishing digital sector. Our core research strengths include Artificial Intelligence and Data Science, Machine
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collaboration with the Principal Investigators. More specifically, the individual will: ● Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; ● Create data
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planning, scheduling, training, equipment selection, student-athlete development and any other duties as assigned by the Head Coach. Emphasis will be placed on learning how to instruct, coach, and prepare
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computing, Proficiency in written and oral dissemination of scientific results, Ability to travel to experimental sites, collaboration meetings, workshops and conferences. Desired skills/knowledge: Ability
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transdisciplinary collaborations. The appointee will have 100% research commitment and will be administratively responsible to the fellowship chair professor. The appointee will be mentored by Dr. Bruno Menarim and
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the research papers, protocols and organize data for grant application · Excellent communication skills, as the basis of internal or external collaboration Your qualifications should include
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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a fellow to collaborate with other Unit scientists and University collaborators, performing a wide range of activities designed to solve problems related to the two-spot cotton leafhopper (Amrasca