To main content To main navigation

Cookies

Cookie settings

You can set your preferences for social media and targeted advertising cookies here. We always place functional cookies and analytical cookies. Functional cookies are necessary for the site to work properly. With analytical cookies we collect anonymous data about the use of our site. With that information, the site can be further improved so that it is easier for you to find what you are looking for.

Read more about our cookie policy.

Functional cookies

We always place functional cookies because they ensure that the site works properly and is secure. Your consent is not required for these cookies. You cannot disable functional cookies.

Analytical cookies

These allow us to see how the website is used. With that information we can improve the site. We see with which device you visit the site, from which site you come to our site and which pages you visit. However, you remain anonymous, we do not see who you are and are therefore allowed to place these cookies without permission. You can, however, refuse the use of these cookies via your browser settings.

Social media cookies

We place social media cookies, for example, when you watch YouTube videos, Twitter feeds or listen to Spotify podcasts. You will not be able to view this content if you do not accept social media cookies.

Tracking cookies

Tracking cookies are used to measure our marketing activities on Google, Facebook and LinkedIn. We are also able to show targeted or personalized advertisements on our website or other websites.

Save

Read aloud

Navigation

Home
About UMCG Research
News
Events
Departments
Facilities
Cohorts
Researchers

Zoeken

Home
researchers

Shuting Li

PhD candidate Profile

PhD candidate

Contact information

A PhD candidate at the Department of Human Movement Sciences. Her research focuses on recovery optimization and its impact on athlete performance. By examining factors such as recovery variables and mechanisms, her work aims to provide insights into enhancing athletic performance. She adopts a multidisciplinary approach, combining biomechanics, sports science, and coaching techniques to improve the performance of endurance athletes. Her research also involves collaborating with sports organizations and professional teams to ensure practical applications and real-world benefits.

University of Groningen profile

Roles

is part of Sport Science
is part of SMART - Smart Movements
is part of Health in Context: Research Institute for Prediction, Prevention, and Care
is part of Human movement sciences

Contact

Send a message

Footer navigatie

UMCG Research
Researchers
About UMCG

Follow UMCG on
Linkedin
X
Instagram
YouTube

About the site

Privacy
Disclaimer
Accessibility
Cookies
Coordinated Vulnerability Disclosure