BCH2202 – Lecture 11

SciNet Teaching Room

In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming. This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. […]

Clinical Trials Roles and Responsibilities: The Sponsor, The Institution and the Qualified Investigator – Apr. 19, 2023

Clinical Trials Roles and Responsibilities of The Sponsor, The Institution and the Qualified investigator in Clinical Trials, is a vast topic many researchers and teams have expressed interest in learning more about. This is also an area many teams receive observations during regulatory inspections. Health Canada representative, Asma Syed, will be joining the upcoming webinar […]

Dismantling the Father’s House? Women as Doctoral Supervisors With Dr. Barbara Grant

The traditional masculine architecture of master and apprentice (or disciple) in doctoral supervision for the arts, humanities and social sciences is undoubtedly under challenge. This architecture, the father’s house of supervision, with its exclusively male occupants was established in the late 19th and early 20th centuries. It persisted largely unchallenged until the final decades of […]

Finding Funding Pathways: Navigating the Social Sciences and Humanities Funding Landscape for Early Career and Newly Appointed Faculty Members – Apr. 20, 2023

Name: History Conference Room (SS2098) Address: 100 St. George Street

This interactive information session will help early careerand newly appointed faculty members understand their funding options for thecoming year and provide strategies for developing long-term research fundingpathways. It will include specific information about internal U of T fundingopportunities and external SSHRC opportunities; and it will include tips andstrategies for developing project-based research proposals and coherent,supportable […]

Gerstein + MADLab 3D Printing Safety Training

This session introduces tools, techniques and best practices of 3D printing, including the basics of 3D printing, an introduction to the MADLab space, and the models of 3D printers available for use. Instructors will demonstrate how to safely use the service and the machines from start to finish, as well as how to find and […]

Equitably Engaging Patient and Community Partners in Our Research: Where Do I Begin? – Apr. 21, 2023

The Community Engagement Series brings together researchers, trainees, and community members to discuss innovative community-engaged research projects and methods. These virtual 1-hour sessions discuss best practices for community engagement, and foster opportunities for sharing community-engaged experiences and ideas. Dr. Patricia O’Campo, Executive Director of the Li Ka Shing Knowledge Institute at Unity Health Toronto and […]

Ask me Anything: Leveraging Mitacs to Develop Research Partnerships in the Life Sciences – Apr. 25, 2023

Name: Centre for Research & Innovation Support Address: 9 King's College Circle Toronto Ontario M7A 1A5

Do you want to learn how to maximize the benefits of your partnerships? We invite faculty members in life sciences to join our Academic Organization Partnership Clinics. These monthly clinics focus on partnership development in the life sciences. Clinic 2: Ask me Anything: Developing Research Partnerships in the Life Sciences Join your colleagues for a discussion […]

T-CAIREM Health Data Nexus Dataset Grants

T-CAIREM is offering two $50,000 CAD grants to help researchers develop datasets that will be securely housed on our Health Data Nexus. Due to interest in this opportunity, we're holding an information session to answer questions from potential applicants.

Neural Network Programming Lecture

SciNet Training Room

This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.10; experience with Python programming will be assumed. The Keras neural network framework will be […]

BCH2202 – Lecture 12

SciNet Teaching Room

In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming. This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. […]

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