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Date Posted: 08/06/2026 Req ID: 49764 Faculty/Division: Faculty of Architecture,Landscape&Design Department: Daniels Faculty of Arch., Land & Design Campus: St. George (Downtown Toronto) Description
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looks at how the design of waterpower dams, structures and equipment has been shaped by technological change over time. Students will learn to analyze the upgrade potential of an existing plant; review
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Date Posted: 08/13/2026 Req ID: 49833 Faculty/Division: Faculty of Architecture,Landscape&Design Department: Daniels Faculty of Arch., Land & Design Campus: St. George (Downtown Toronto) Description
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thematic data analysis - Experience with writing and supporting the development of literature reviews - Experience with research writing support and providing quality feedback - Experience designing and
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sequencing (NGS) and imaging data · Expertise with statistical modelling and the design of geospatial statistical software · Excellent communicator and professionalism · Experience
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to be what the world needs and embraces equity, diversity and inclusion as foundational to excellence and innovation. We actively seek to create a welcoming environment where all individuals feel
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must be submitted to Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/32408 . Deadline for applications is October 1, 2026. The expected starting salary range for this position is $135,000
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
of extreme events. Experiences of older adults, family caregivers, and migrant care workers within changing health care, social service, and immigration systems. Psychosocial impacts of extreme events
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critical pillars of the new program being developed and designed for implementation in Fall, 2027: The MT program's commitment to providing a coherent learning experience that positions inquiry-based
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research to explore topics such as: How do environmental scientists design studies or experiments to answer specific questions? How do we characterize the limitations of the data we have and work within