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Post-Doctoral Research Fellow
Job Description & How to Apply Below
Join the Interdisciplinary School of Health Sciences to tackle critical data analytical projects. This role requires advanced statistical and machine learning knowledge and offers opportunities to engage with diverse research and clinical professionals. Candidates will delve into predicting disease trajectories and enhancing patient treatment for those facing comorbid physical and mental health issues.
Key Responsibilities:
• Lead data-intensive research projects based on expertise
• Develop grant proposals and research protocols
• Prepare manuscripts for peer-reviewed journals
• Create new analytic and data-sharing methodologies
• Present findings to academic and local partners
Requirements:
• PhD or equivalent in relevant field
• Proven experience with statistical/machine learning methods
• Proficiency in R and Python for quantitative analyses
• Strong analytical writing and communication skills
• Advanced English proficiency, French is an asset
Utilize your research skills to enhance mental health outcomes through data at the University of Ottawa.
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