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sensing observations in the Canadian Rockies, compare its simulations to Canadian models such as CRHM, CHM and MESH and diagnose model improvements and tipping points in cryospheric-hydrological system
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programming skills, with experience in R, Python or comparable scientific computing environments. · A record of rigorous research and peer-reviewed publication appropriate to career stage. · Ability to work
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techniques for these codes are still new. We want to be able to fairly compare different codes, considering their overhead, architecture assumptions, and the cost of computing with them. I have a particular
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, harmonizes, and preprocesses multi-cohort longitudinal datasets to ensure comparability across different study designs and measurement structures, ensuring reproducibility and adherence to FAIR data principles
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individuals who are committed to advancing health care policy and practice to spend a year in the United States conducting internationally comparative research with mentorship from leading U.S. experts