Grad and Postdoc Bonfire
Graduate students, postdocs, and their families are invited to join us for a fall bonfire at the Laurel Creek fire pit.
Graduate students, postdocs, and their families are invited to join us for a fall bonfire at the Laurel Creek fire pit.
Plan your graduate journey with this interactive workshop to help you map milestones, explore career paths, and create a degree experience tailored to you.
All Grad Skill Enhancement Project (GSEP) participants are invited to attend the kickoff event to network with other participants, ask questions about the project, and get free headshots.
One of the most important relationships you will have during your time in graduate school is the one you share with your supervisor. Join us to learn about supervisor-student relationships, expectations and how to navigate through the experience to create a collaborative and positive experience.
Doctoral graduate students (including up to one guest of their choosing) and their graduate supervisor(s) are invited to attend a complimentary dinner reception to commemorate their achievements.
PhD students, postdocs, and their families are invited to meet others from across the university, play outdoor games, and enjoy the summer weather.
PhD students who have recently received candidacy in their programs have been invited to attend a workshop and celebratory event that will cover the skills needed in the next phases of their graduate studies, including focusing on their wellbeing, managing large writing project, and developing productive writing techniques.
Learn about postdoctoral positions, what they entail, and how to know if it's the right next step for you.
Witness bold pitches, connect with founders, and experience innovation in action as participants compete for the $25K grand prize.
Count data, which consists of non-negative integers, is commonly collected and analyzed in fields like epidemiology, genomics, and clinical research. This workshop will introduce you to Poisson regression, a powerful tool for modelling count data over time.