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: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing
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Phase 3 Finalists on October 25th and live final on October 31st. Qualifications: MMR, MBA, MMA students or U3 + of the McGill University BCom Degree program, with a concentration in Retail and preferably
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implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may
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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 encourages members
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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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information ● Experience with statistical methods including multivariate statistics, Bayesian statistics and linear/non-linear mixed-effects models ● Proficiency in the programming languages R
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independently and collaboratively. Excellent communication skills are required, including effective interpersonal, oral and listening skills. Attention to detail. Good organizational skills are essential to plan
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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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organization in need of high-level expertise A professional development curriculum that prepares Elevate fellows for success as leaders in research and industry Fellows progress through the program in a cohort
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow (Soil Microbiome) Department Research Support | Taye Academic Group | Applied Biology Program | Faculty of Land