Events: Graduate Students & Postdocs
Explore events and happenings in the College of Natural Sciences.
Mar
25
2025
Mindful Sips: Co-morbidities of Alcohol Use Disorder
Part of a series of discussions by the Waggoner Center for Alcohol and Addiction Research about the neuroscientific, genetic and social aspects of alcohol drinking and the development of Alcohol Use Disorder.
5:00 pm – 6:00 pm • In Person
Speaker(s): Elisabeth Lippard and Mary Steinhardt
Mar
26
2025
Careers, Learning and Development
Learning Lunch with Vic Sampson
Learning Lunches, sponsored by STEMx and UTeach, are a series of talks and presentations highlighting timely teaching topics.
12:00 pm – 1:00 pm • In Person
Speaker(s): Vic Sampson
Mar
27
2025
Careers, Learning and Development
Careers in Conservation with Lina Valencia
Dr. Lina M. Valencia, Andean Countries Coordinator at Re:wild, will talk about her career in conservation and her path to her current position.
3:30 pm – 5:00 pm • In Person
Speaker(s): Lina Valencia
Apr
1
2025
2025 LaMontagne Lecture with Julie Gerberding
Julie Gerberding, M.D., M.P.H., the CEO of the Foundation for the National Institutes of Health, will discuss “Beyond One-Size-Fits-All: Rebuilding Trust and Advancing Precision Public Health in the AI Era.”
2:00 pm – 5:00 pm • Hybrid
Speaker(s): Julie Gerberding
Apr
15
2025
Mindful Sips: Risk factors for developing Alcohol Use Disorder
Part of a series of discussions by the Waggoner Center for Alcohol and Addiction Research about the neuroscientific, genetic and social aspects of alcohol drinking and the development of Alcohol Use Disorder.
5:00 pm – 6:00 pm • In Person
Speaker(s): Anna Warden and John Leri
Apr
23
2025
Careers, Learning and Development
Learning Lunch with Marci Gleason
Learning Lunches, sponsored by STEMx and UTeach, are a series of talks and presentations highlighting timely teaching topics.
12:00 pm – 1:00 pm • In Person
Speaker(s): Marci Gleason
May
19
2025
Machine Learning for Life Sciences Researchers
This hands-on program takes attendees through the fundamentals of machine learning to cutting-edge deep learning techniques.
9:00 am – 4:00 pm • In Person