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  • MASc Thesis Presentation by Andrew Vigars

    Andrew Vigars Methanotrophic Zonation Under CH4:DO Niches During Summer Stratification in an Oil Sands Pit Lake (MASc Thesis Presentation) Candidate: Andrew Vigars Supervisor: Professor Lesley Warren Tuesday, April 1, 2026 at 1 p.m. Join via Teams: https://teams.microsoft.com/meet/22279129499781?p=Uk9J5MYI16r2NpHDyS Meeting ID: 222 791 294 997 81       Meeting Passcode: hr6SK9Gt

  • DEADLINE: Lawson Climate Institute Catalyst Grant

    Lawson Climate Institute Catalyst Grant   Apply by: April 20, 2026 Info session: April 8, 2026 Value: $50,000 per project over 1–2 years Eligibility: Applications are open to faculty members at all divisions across U of T, as well as collaborations between U of T researchers and companies, not-for-profits and/or governments within Canada and internationally. About the grant: Meeting the complex challenges of climate change […]

  • Embodied Greenhouse Gas Symposium 

    Thursday April 30, 2026. 9 a.m.—2 p.m. EST Desautels Hall, Rotman School of Management, 105 St George St - Map Register here! How can Canada meet the simultaneous challenges of scaling up its infrastructure and housing to keep pace with population growth while also achieving ambitious targets for reducing greenhouse gas (GHG) emissions? Join the Centre for the […]

  • PhD Departmental Defence by Quijin Ma

    A Direct Floor-Response Spectrum Method for Nonlinear Multiple Degree-of-Freedom Structures (PhD Departmental Defence) Candidate: Quijin Ma Supervisor: Professor Oh-Sung Kwon Friday, May 29, 2026 at 10 a.m. In person attendance in SF1009 - Sandford Fleming Building OR Join online via MS Teams: https://teams.microsoft.com/meet/2179252371243?p=vWPhqeMvicXeo3sQ7V Meeting ID: 217 925 237 124 3.  Passcode: Zt3Vg3Vx

  • Transit Data Challenge 2026 – SUBMISSION DEADLINE

    We are pleased to invite you to participate in the Transit Data Challenge 2026, a national hackathon bringing together Canadian university students to tackle real-world public transit challenges through data analysis and innovative problem-solving. The Transit Data Challenge offers students a unique opportunity to work with real transit datasets, develop applied data science and analytical […]