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Applications for Fellowships are accepted between November 1 – January 31 each year. The IMH Marshall Fellows Program supports the training of early career investigators in translational research
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). Responsibilities Plan, deliver and modify program lessons and activities. Ensure safety, well-being and enjoyment of campers from ages 10 - 15 years old. Make accommodations for campers with varying learning needs
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, ranging from early devotionals and Bollywood mythologicals to art house and parallel cinema masterpieces to explore key themes in the history and religion of India with a focus on 20th century developments
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School of Nursing Course Title: NUR1 434 020 (online program) Critical Care Nursing Practicum Course Code: Estimated Number of Positions: 1 Total Hours of Work per Term: 0 Hiring Unit: Ingram School
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vessel power and propulsion systems, or instrumentation and ocean observation systems. The successful candidate will have demonstrated potential to form a research program that combines mastery in
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, ranging from early devotionals and Bollywood mythologicals to art house and parallel cinema masterpieces to explore key themes in the history and religion of India with a focus on 20th century developments
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and local, national and international collaborators. Required qualifications Education: PhD in computer science, engineering, mathematics/statistics, computational neuroscience or a related quantitative
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 months ago
Position Details Position Information Position Title Part-Time Academic (ARCH 5217 Innovation in Computers and Building) - Fall 2026 Posting Number PTAP3451P Department/Unit Architecture Location
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML