Current campus guidelines for any gathering other than academic classes, professional education programs (GTPE), or department meetings are available at specialevents.gatech.edu/campus-events-guidelines.
Thursday, September 23, 2021
11:00 am - 12:00 pm
Webinar (Online)
Learn a foolproof strategy to prepare for and ace any interview!
Thursday, September 23, 2021
12:30 pm - 1:30 pm
Webinar (Online)
Learn about how the Career Center's graduate internship program policies and procedures
Thursday, September 23, 2021 to
Thursday, September 30, 2021
Thursday, September 30, 2021
1:00 pm - 4:59 pm
Online/Instructor-led
Level-sets the participants' understanding of negotiation influence and strengthens preparation, planning and execution activities involved with both simple and complex negotiations.
Thursday, September 23, 2021
3:30 pm - 4:30 pm
Second Floor Classroom, Crosland Tower, Georgia Tech Library
Knowing how to find information on your target companies can give you an advantage – whether for a job search or for a research project.
Thursday, September 23, 2021
4:00 pm - 5:00 pm
Virtual - Details in CareerBuzz
How to network
Thursday, September 23, 2021
6:00 pm - 7:00 pm
Online
Please join the Society of Women Engineers for an Information Session about Truist, their Technology & Innovation Program, as well as their Data Science Accelerator Program
Friday, September 24, 2021
11:30 am - 1:00 pm
Second Floor Classroom, Crosland Tower, Georgia Tech Library
Come learn how to quickly create a 3D scatter plot with Python and Plotly!
Friday, September 24, 2021
12:00 pm - 12:30 pm
Atlanta, GA
Scheller Lunchtime Live: Serving on a Non-Profit Board - What You Need to Know
Friday, September 24, 2021
1:30 pm - 2:30 pm
Second Floor Classroom, Crosland Tower, Georgia Tech Library
Knowing how to find information on your target companies can give you an advantage – whether for a job search or for a research project.
Friday, September 24, 2021
4:00 pm - 5:00 pm
311 Ferst Dr NW, Atlanta, GA 30332
A seminar course for graduate and postdoctoral students who want to learn the different types of research available in the College of Sciences using data sciences.