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contributed datasets. DEPRESSD investigators publish studies on screening tool accuracy, statistical methods for IPDMA, and other methodological and meta-research studies that advance work on screening
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account for sex (biological factor) and gender (socio-cultural factor) in the research design, methods, analysis and interpretation, and dissemination of findings. For more information and resources, please
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research, or regenerative medicine, ● Experience with cellular and molecular techniques, including cell culture, omics approaches, and imaging methods, ● Proficiency in data analysis, statistical methods
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Location: Ottawa, Ontario Value: $55,567 (part-time Postdoctoral Fellowship) For further information on the organization, please visit Global Affairs Canada For further information on the program, please
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Join a dynamic, world-class, collaborative science team at the intersection of Computer Science and Ecology. We are seeking a motivated individual to join the Boreal Plains Aerial Imaging research
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Computer Science Department Shadgan Laboratory | Department of Orthopaedics | Faculty of Medicine (Babak Shadgan
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The Department of Orthopaedics is seeking a full-time Postdoctoral Research Fellow to investigate innovative techniques for sports monitoring using advanced wearable sensors and analytical methods
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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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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day 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