174 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Canada
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candidate will bring strong theoretical and practical expertise in sustainability, energy systems, and collaborative learning, with openness to diverse disciplinary and community-based approaches. Key
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learning, with openness to diverse disciplinary and community-based approaches. Key Responsibilities Lead and co-author peer-reviewed publications, funding applications, and reports Design and facilitate
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. The ideal candidate will bring strong theoretical and practical expertise in sustainability, energy systems, and collaborative learning, with openness to diverse disciplinary and community-based approaches
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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, applied mathematics, statistics, computer science, strong gravity, condensed matter theory, particle physics, quantum fields & strings, quantum gravity, quantum foundations, quantum Appl Deadline: 2026/01
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insights that support climate adaptation strategies and ecosystem-based management. This work is part of the Global Water Futures Observatories (GWFO) program, Canada’s premier freshwater research network
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postdoctoral researchers whose interests and expertise align with our values and the needs of the network. These positions will be co-developed based on alignment between applicant, and the project and program
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 17 hours ago
· Organization of meetings, workshops and seminars · Preparing academic publications and research reports Education and Experience The successful PDF candidate must possess: · Completed (or ABD) a PhD (or
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More Topics #jobs The Transformative Quantum Technologies (TQT) program at the University of Waterloo has several openings for Postdoctoral Fellowships (PDFs). These prestigious positions
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private grant-making foundation. This prestigious fellowship will be awarded to an incoming PhD student in the Faculty of Forestry whose intended studies fit within one of the following areas of excellence