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Staff - Non Union Job Category Non Union Technicians and Research Assistants Job Profile Non Union Salaried - Research Assistant /Technician 2 Job Title Research Assistant, Data Management
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molecular biology and biochemical technics such as western blot, yeast genetics, qPCR, microscopy, and mammalian cell-based assays. Assist in data interpretation by summarizing and preforming statistical
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 days ago
optics. Track record of publications on experimental quantum optics and/or quantum information in scientific journals. Duration of position Two-year position with option to renew to third year. Equity and
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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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for the research newsletter. Prepare study advertisement and promotional material for study subject recruitment and conduct. Participate in screening, consenting, enrollment, and data collection. Perform data entry
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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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the salary. Applicants are requested to submit a cover letter outlining their research interests and expertise, an up-to-date CV (including a list of publications), and contact information for three references
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expertise, an up-to-date CV (including a list of publications), and contact information for three references to Chihya Hung (Chihya.Hung@ubc.ca ). Review of applications will begin upon receipt and will
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contact information for three references to Chihya Hung (Chihya.Hung@ubc.ca ). Review of applications will begin upon receipt and will continue until the position is filled. Start date is negotiable but
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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