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and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods, and
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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evolving health trends Expertise in data management and statistical programming, particularly with SAS, SQL, STATA or R In-depth knowledge of research methodologies, systematic reviews, and syntheses Formal
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(SAS and SQL and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods
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Over 10 years of experience (inclusive of PhD and/or post-graduate work) in accelerated R&D in the area of cheminformatics and molecule design. Experience working closely with a Principal Investigator or
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) in accelerated R&D in the area of cheminformatics and molecule design. Experience working with industry partners and on industry lead research and development projects. Expert knowledge of AI and
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such as R or Python. The ideal candidate will be comfortable working with large geospatial datasets and interested in collaborating as part of a team on various CanN2ONet modelling initiatives. Experience
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career-driven, experienced in project management and engagement, possessing strong communication skills, and with aspirations to expand their skills and move into a Research & Development (R&D) leadership
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, Canada Queen's University is situated on traditional Anishinaabe and Haudenosaunee Territory. The Department of Electrical and Computer Engineering in the Stephen J. R. Smith Faculty of Engineering and