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: Work on the project to build a statistical model that predicts stability of a given heteroaromatic silicon-fluoride acceptor to survive in the body Scientific writing Mentoring graduate students
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sessions, and public seminars for project stakeholders Education and Experience: The successful candidate must possess: PhD awarded in the past 5 years in a related field such as urban planning, engineering
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, healthcare utilization, quality of care, and patient outcomes across the cancer continuum. Conduct advanced statistical and epidemiologic analyses using large-scale administrative health databases, including
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the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). Write first-author
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University. The fellowship provides an opportunity to engage in research in clustering under the supervision of Dr. Paul McNicholas, with a limited amount of teaching, and is suitable for talented statistics
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across