Neuroscientists are now collecting datasets of unprecedented scale thanks to technological advances. Yet, there are many unanswered questions that must be addressed to keep moving the field forward.
In this webinar moderated by Gardiner von Trapp, panelists Michael Miller, Richard Myers, and Pascal Wallisch discuss:
- What types of research problems can a data-science approach solve?
- How will neuroscientists analyze large-scale data sets most effectively, and with what tools?
- What training challenges do mentors and trainees face for implementing large-scale data science practices?
- What skills are valuable for neuroscientists to have to successfully understand and adopt this approach?
Watch to learn why a data-science approach is an exciting horizon in neuroscience research, and what it means for training, whether you are a PI, professor, or trainee.
Check out these additional data science resources from the webinar speakers.