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Irving K. Barber Faculty of Science, go to https://science.ok.ubc.ca/ . For more information about UBC resources and opportunities, please visit http://www.hr.ubc.ca/faculty-staff-resources/ . Information
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carry out an integrated program of independent research and education. Fellows may engage in observational, instrumental, theoretical, laboratory or archival data research in any area of astronomy or
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The University of British Columbia | Northern British Columbia (Fort Nelson), British Columbia | Canada | 25 days ago
with diverse expertise, from faculties including Science, Medicine, Applied Science, Forestry, and Land and Food Systems. The Department of Biochemistry & Molecular Biology (BMB; https://biochem.ubc.ca
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Systems, and Mathematical Medicine & Biology, as well as interdisciplinary research in Scientific Machine Learning and Data Science. Candidates should indicate in their cover letter the name(s) of
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work alongside leaders in science and engineering in the areas of artificial intelligence, machine learning, big data and data analytics, software and security, mobility and autonomy at Nanyang
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University of Calgary Faculty of Veterinary Medicine | Calgary, Alberta | Canada | about 1 month ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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Breadcrumb Data Sciences Institute Postdoctoral Fellowships The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto
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Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling, agroecology, conservation decision-making, data science/data management
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Researcher – Schmidt AI in Science Fellow
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, conversational text, and biometric data. The core challenge is utilizing self-supervised representation learning to construct a continuous latent manifold of individual differences. Responsibilities ● Develop