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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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candidate will have expertise in data analysis/interpretation, publication of results in the scientific literature, and a valid driver’s license. Additional Skills: Strong interpersonal skills, excellent
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, perform statistical analysis of collected data and write relevant algorithm. Good writing and presentation skills are ideal for scientific communication. To Apply: Interested applicants must include
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required Experience analyzing wearable device data including accelerometer and GPS data, as well as experience with spatial data analysis Demonstrated publication record in high quality peer-reviewed
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& coordination, drafting & revisions of protocols, amendments, & annual reports Data collection Data entry Data analysis and literature review Communications (e.g. develop knowledge mobilization strategy
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below for a list of further responsibilities: Research ethics: administration & coordination, drafting & revisions of protocols, amendments, & annual reports Data collection Data entry Data analysis and
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data collection and analysis for publication in peer-reviewed journals. The position will also include mentoring of undergraduate students. Qualifications: Research publications, grant writing
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simulations and data analysis, detector and electronics R&D, and experiment-related operations, including: Participating in data collection including shift-taking at PSI Participating in detector and experiment
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-docs, graduate students, and other technicians in the lab. Work Performed Performs experiments utilizing well established procedures or techniques. Collects and records experimental data; assists in
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 28 days ago
interdisciplinary collaboration. Demonstrated programming skills, preferably in Python (e.g., PyTorch, NumPy, pandas, polars). Experience with spatial and/or temporal data analysis (geographic data, satellite imagery