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flexibility. The successful candidate will join a dynamic nine-member division of orthopedic surgery and a multidisciplinary trauma program. It is expected that the chosen candidate will contribute
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expected to: Maintain an active and high-impact research program; Compete successfully for external research funding such as Tri-Council grants or other similar national or international peer-reviewed grant
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uncertainty and learning from new data. The course introduces the basics of Bayesian inference and Markov chain Monte Carlo methods, then shows students how to compute and make inferences for complex data
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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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Operations Assistant positions are available at the Morgan Arboretum. To read more about the Morgan Arborteum's work, visit their website: https://www.mcgill.ca/morganarboretum/ Hiring Unit: Morgan Arboretum
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 17 hours ago
provides strategic leadership for the University’s research infrastructure, including shared facilities, major equipment platforms, digital research capacity, research computing infrastructure, and
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2, 2026, 11:59pm EST Course number and title: MMG3001Y: Advanced Human Genetics Course description: This two-term graduate course is offered within the MHSc Medical Genomics program, and is restricted
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Interventional Sciences. Preferably Students in Public Health, Epidemiology, Experimental Medicine, Computer Science, or a related field are also eligible. Graduate-level training in biostatistics, epidemiology
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. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health informatics would be
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, neonatology, genomics, immunology, and computational biology. Upon appointment, the Fellow will have access to well-characterized clinical cohorts and existing multi-omics datasets for analysis and publication