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capacity. Continuously assesses the workload and flow to best support processes and practices within the team and across the Faculty of Medicine to achieve optimal organizational efficiencies and
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, including lecture series information, events, resources, faculty profiles, and program details. Ensure the website’s design is visually appealing, user-friendly, and optimized for accessibility. Maintain and
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, and documentation to ensure consistency, quality, and continuity of operations. Leads the testing, adoption, and ongoing optimization of virtual platforms, systems, and tools, ensuring they enhance
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logistical support for evaluation and research initiatives that advance collaborative health education and practice. Proven ability to devise and propose meaningful changes to optimize performance and services
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on research databases, screening titles and abstracts for inclusion) Knowledge translation planning (e.g., co-creating web-based media products, reviewing manuscripts) Contributing to an optimal workplace
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operational expertise and problem-solving ability with the scientific equipment required for this project, including new antibody-based applications. Develops and optimizes protocols for new antibody-based
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, to support her program of research in optimizing postpartum women’s cardiovascular health. The preliminary phase of the study will be mainly to develop and validate a CVD risk prediction model. This CVD risk
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other relevant institutions, to optimize the employee experience for staff and faculty relations, including collaboration and a more consistent, standardized and innovative approach to HR to meet long
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. The respiratory virus project focuses on optimizing and performance testing a next-generation sequencing based diagnostic assay for the detection and characterization of respiratory viruses in clinical samples
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treating patients and maintaining the full and robust caseload the clinic requires to support student clinical placements. The candidate must demonstrate a strong desire and focus to provide an optimal