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additional internal guidelines, procedures, or deadlines in place for this fellowship opportunity. The Canada Postdoctoral Research Award (CPRA) program recognizes and supports the next generation of
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the supervision of Mayssun El-Attar Vilalta, Economics Faculty Lecturer, the Research Assistant will work on research related to computation and data analysis in economics. This work will take the form of data
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distributed programs, which include four university academic campuses, are located on traditional, ancestral and unceded territories of First Nations Peoples and communities around the province. Our Vision
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, this sometimes includes showing movies and task-based stimuli to the participant via a computer using specific software programs, attaching electrodes to a participant’s body to collect information about their
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well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups
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probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal design, computer experiments, sequential analysis, shape-constrained inference, time
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to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing
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the supervision of Vincent Rigby (Slater Professor of Practice) and Pearl Eliadis (Associate Professor, Professional) successful candidates will assist in the further development of the Slater partnership program
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to fill the gaps. The ultimate goal is to develop a certification that would be awarded to students upon completion of specific milestones in access to justice within their program. The project is led by a
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reports. Qualifications: Master’s degree in Neuroscience, Computer Science, Engineering, Physics, or related fields. Strong proficiency in Python or MATLAB for data analysis and scientific computing