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) Placental sampling and dissection 2) DNA/RNA extraction from blood and other human tissues 3) Molecular genetics techniques including methylation-based DNA analyses (pyrosequencing) and real time PCR
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treatment effect models. Ensure data quality by employing rigorous data cleaning procedures and by documenting all processes and coding steps transparently. Methodological Development Contribute to selecting
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publishing charge NEW! Prior to 2023, the award operated on a reimbursement model (ie. receipts required). As of 2023, receipts are no longer required – all eligible applicants will receive a $500 award
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spectrum disorder, fetal alcohol spectrum disorder (FASD), and Down syndrome, with a particular focus on narrative and observation-based clinical assessments and medication strategies. We focus on unraveling
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confidentiality Technical proficiency using various word processing software, spreadsheet programs, presentation software, data bases and Internet Knowledge user of REDCap, MS Teams, and Microsoft Office
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considered for related award funding (please see "Further Information" below for details). Students in course-based professional Master’s programs and programs not administered by the Faculty of Graduate and
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in professional and coursework-only master’s programs (previously, only research-based programs were eligible). All Indigenous students are eligible to apply, but priority is given to Indigenous
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. Organizational Status This position is based out of University of British Columbia, Department of Psychiatry, in Vancouver and works as part of Dr. Todd Woodward and Dr. Mahesh Menon’s research team. The position
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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included in determining eligibility The competition is open to students of Research-based programs only. Programs that are not eligible: Students in course-based/professional programs. Students in programs