64 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Canada
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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research program must be predominantly research oriented. Projects whose primary objective is to adapt a doctoral thesis for publication in a book or manuscript, edit textbooks, translate, or acquire a
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worldwide, leveraging industry-standard tools and technologies to ensure the quality and reliability of the developed prototype hardware implementation. Qualifications: PhD in Electronics/Computer Engineering
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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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The laboratory of Dr. Arielle Elkrief, co-Director of the CHUM Microbiome Centre is searching for a talented and self-driven Computational Biologist or Bioinformatician to join our computational
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? Postdoctoral Research Opportunities in Science (PROS) at Baylor College of Medicine allows you to meet faculty and trainees from multiple labs and learn about our resources in the Texas Medical Center in
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in motor circuitry to motor performance and learning (see PDF). This CIHR-funded research program is comparative, involving experiments in songbirds (zebra finches) and mice, and conducted in
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | about 14 hours ago
discretizations and/or machine learning methods. The ideal candidate should have a strong background in numerical analysis, scientific computing, and/or scientific machine learning. We are particularly interested
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electrophysiological techniques AND/OR neuromodulation techniques Background knowledge in electronics and experience in signal processing. Background knowledge of machine-learning, AI, and computational neuroscience
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. INTERACT is co-led by Daniel Fuller (University of Saskatchewan), Yan Kestens (Université de Montréal), and Meghan Winters (Simon Fraser University). To learn more about our research program, visit