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this position, the candidate will participate in a project aimed at predicting progression of Parkinson disease by assisting with organizing, curating, and processing large datasets according to data standards
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, collects, and analyzes relevant information and injury data relating to current projects. Conducts systematic reviews including but not limited to: title and abstract screening, full-text review, quality
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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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expected to have a strong 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
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. The Project The successful candidate will be a member of the new, large, interdisciplinary, and inter-institutional initiative Towards sustainable futures. Transforming Chemical Risk Management with
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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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Position Details Position Information Position Title Postdoctoral Fellow Posting Number PTAP2765P Department/Unit Medicine Location Saint John, New Brunswick, Canada Job Summary & Key
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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