[Opensim-announcement] OpenSim+ Workshop, Postdoc Positions, and New Insight Into Hamstring Injuries

[Matthew Petrucci]

OpenSim+ Advanced User Workshop at Stanford University

March 18-20, 2025

Application Deadline: December 18, 2024


The Wu Tsai Human Performance Alliance<https://humanperformance.stanford.edu/>, Restore Center<https://restore.stanford.edu/>, and Mobilize Center<https://mobilize.stanford.edu/> are now accepting applications for a project-based workshop on the Stanford University campus. This workshop will take place March 18-20, 2025 and is intended for researchers who are advanced users of our software tools, including OpenSim, OpenSim Moco, OpenSense, and OpenCap. Advanced users include those who are applying these tools to new use cases, or developing new pipelines, models, or algorithms. Researchers will work with our staff to advance the goals of their specific research projects. Travel awards will be granted to top workshop applicants (individuals or groups).


Read more and learn how to apply<https://opensimconfluence.atlassian.net/wiki/spaces/OpenSim/pages/455278593/OpenSim+Advanced+Workshop+March+2025>



Smartphone video-based analysis sheds light on hamstring injuries

Hamstring injuries have been linked to running at high speeds, but researchers from Stanford University and the Restore Center<http://restore.stanford.edu> have demonstrated that hamstrings stretch to greater lengths and at faster speeds during acceleration from lower running speeds compared to maintaining a constant top speed. This may explain why hamstring strain injuries often occur during acceleration and suggests that monitoring during acceleration may also be helpful for injury prevention. The study was performed using the smartphone-based OpenCap<http://opencap.ai> system to capture motion data for the experiment outdoors on a natural running surface, providing more realistic movement data compared to previous treadmill-based studies. It was published in Medicine and Science in Sports and Exercise.<https://doi.org/10.1249/MSS.0000000000003577>


Learn more<https://humanperformance.stanford.edu/news/innovative-techniques-shed-light-on-hamstring-injury-prevention-in-athletes/>



Open Positions in Digital Human Modeling - Stanford University

A team of faculty at Stanford University, including Professors Scott Delp, Garry Gold, Karen Liu, Akshay Chaudhari, and Ellen Kuhl is accepting applications for Postdoctoral Fellows in digital human modeling. The researchers in these positions will help develop new methods to simulate, generate, and understand human movement. Candidates should have a background in biomechanics, computer science, robotics, and/or machine learning.



Learn more and apply<https://nmbl.stanford.edu/opportunities/postdoctoral-fellowships-in-digital-human-modeling/>





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