126 programming-"Multiple"-"Prof"-"U.S"-"O.P"-"FEMTO-ST-institute"-"UCL" positions at McGill University in Canada
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resources and operations. Apply University regulations, policies and guidelines. Primary Responsibilities: Regularly confer with the immediate supervisor in order to plan ahead, co-ordinate administrative
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for various faculties and schools, determining the eligibility of graduate applicants and working with a variety of programs. Evaluate student files for admission to McGill, considering multiple sources
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of more than one computer operating system (Linux, Mac, Windows) is an asset. Knowledge of statistical software packages (e.g. R, Stata, SAS) is an asset Knowledge of programming software (e.g. Python) is an
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essential. Must be highly organized, results-driven, and able to manage multiple projects under tight deadlines while prioritizing tasks effectively. Demonstrated ability to work independently and
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and Endpoint Security Course Overview: This course will cover network security and the various technologies, policies, and procedures that are used in combination to create multiple layers of protection
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to manage multiple tasks and adhere to timelines Strong competency with computer programs, including Microsoft Office, SPSS, and electronic data capture systems (e.g., Qualtrics, REDCap) Experience writing
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, resourcefulness, ability to prioritize and meet multiple deadlines. Proven ability to draft correspondence, to proofread text and edit documents. Able to work independently and as part of a team. Ability to work
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: Analyze podcast segments via an online platform Assess the podcast data according to the given hostility framework and scale Apply a clear rating scale across multiple metrics to categorize the level of
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visualization on ad-hoc basis or as part of long-term business key performance indicators. Conduct benchmark analyses of student life programming. Facilitate efforts to determine best methods to collect
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investigates the genetic and biological determinants of multiple sclerosis (MS) and related neuroinflammatory disorders. We integrate large-scale genomic, proteomic, imaging, and clinical datasets to identify