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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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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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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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at scientific conferences Proficiency in bioinformatics programming languages, such as Python, R, and Bash Extensive experience in multi-omics analysis, including whole-genome, transcriptome, and methylome
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, STATA or R In-depth knowledge of research methodologies, systematic reviews, and syntheses Formal education/training in quantitative research methods and statistical analysis Excellent written and verbal
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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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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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Columbia or willing to relocate PhD in computer science, bioinformatics, biomedical engineering, electrical engineering or similar. Outstanding programming skills in MATLAB, JAVA, Net, Python and R. Track
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computer science, bioinformatics, biomedical engineering, electrical engineering or similar. Outstanding programming skills in MATLAB, JAVA, Net, Python and R. Track record of developing and implementing novel