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understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will: Investigate mechanisms of T-cell development, aging, and thymic
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your research interests and fit for the position Curriculum vitae with publication list Contact information for 3 academic references Applications should be submitted via UBC Workday Careers. For any
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operates within a primary health care model and is also a teaching site for the Department of Family Medicine. The MOA plays a key role in supporting this academic environment by working closely with medical
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an instructors’ preparedness for responsibilities, success in the classroom, and ease of working at SAIT Experience navigating academic governance, faculty relations, and instructional delivery models in a post
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observing, data reduction and analysis, instrumentation and software development, modelling and simulations) involving instrumentation for or astronomical datasets from radio telescopes. Demonstrated radio
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at UVic: ocean science and marine ecosystem resilience; ocean-based carbon sequestration; climate modelling; and energy systems transformation. The candidate's qualifications, experience and overall market
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, establishing interview panels including participation as required, recommending selection, negotiating offers and conducting reference checks. Advises managers on posting and interview requirements for unionized
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similar to programming in the portfolio is preferred Knowledge & Skills Ability to leverage the value of a diverse population and foster an environment of inclusiveness Models respectful behaviours and
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compliance with institutional data policies. Assist in the development of predictive models and trend analyses. Provide training and support to staff on data tools and reporting best practices. Document data
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-of-the-art wildfire behavior models to generate near-real-time predictions of wildfire risk. Organizational Status This position reports to Dr. Mathieu Bourbonnais in the Fire Ecology and Remote Sensing Lab