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the other country. Awards are offered in partnership with Mitacs’s Canadian academic partners (and, in some cases, with Mitacs’s international partners) and are subject to available funding. Program Overview
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techniques and familiarity with cleanroom environments. Proficiency in data analysis and scientific programming languages (e.g., Python, MATLAB, or similar). Proven track record of research excellence, as
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 23 days ago
orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and
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an emphasis on live cell and, ideally, in vivo cranial window imaging. The successful applicant will be expected to work as part of a team while managing independent projects. Dr. Alex Lohman’s research program
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on campus, so candidates with Canadian status will be given preferences. Qualifications: A PhD degree in Economics, Marketing, Biostatistics/Statistics, or a related field, strong computing/programming and
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://www.schenlabuottawa.com/ Key Responsibilities: Lead a project that identifies the roles of specialized gene expression programs in distinct excitatory and inhibitory neuron subtypes during motor learning. Utilize in vivo
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efforts to model nitrous oxide emissions reduction. Qualifying skills: We seek a candidate with experience working with quantitative and/or spatial data, including familiarity with programming environments
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current BCM postdocs, and learn about research, career development and support resources designed to help you reach your professional goals. Virtual Programming from the Office of Postdoctoral Affairs will
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, including familiarity with programming environments such as R or Python. Experience with geospatial analysis and/or systems modeling around agriculture/food/energy applications, as well as experience working