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establishment environment is preferred. Knowledge, Skills, & Abilities: Ability to develop and work with large clinical (e. g. registry data), research or administrative databases. Ability to effectively use MS
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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the activities of the institution. Any procedures or data recorded must be accurate and must accurately reflect the work performed. Strict confidentiality of all study participants must be adhered to. All
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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interests that span acute hemodynamic management, biomarkers for injury severity, and large animal modelling. Both the West and Kwon labs offer a highly-collaborative training environment for emerging
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interests that span acute hemodynamic management, biomarkers for injury severity, and large animal modelling. Both the West and Kwon labs offer a highly-collaborative training environment for emerging
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alterations in gynecologic cancers. We have amassed whole genome and whole transcriptome sequencing data sets for a variety of gynecologic malignancies (endometrial, ovarian, vulvar, cervical, and some rare
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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2