Connectionists: [jobs ]POSTDOC: NON-INVASIVE MUSCLE BIOPSIES VIA ADVANCED BIO-SIGNAL PROCESSING AND MACHINE LEARNING FOR REGENERATIVE ROBOTICS, UNIVERSITY OF TWENTE

[Massimo Sartori]

Are you passionate about creating pioneering non-invasive techniques that
could replace traditional invasive biopsies for assessing musculoskeletal
health and developing innovative regenerative robots for next-gen
rehabilitation ? Do you want to develop wearable systems for continuous,
in-depth monitoring of skeletal muscle structure and inflammation over long
timescales (months or more)? Are you ready to push the boundaries of muscle
monitoring and machine learning to shape the future of robotic training?

The *Neuro-Mechanical Modeling and Engineering Lab* (NMLab,
http://bit.ly/NMLab) at the University of Twente invites applications for a
3-year postdoctoral position funded by the *ERC Consolidator Grant
ROBOREACTOR *(https://cordis.europa.eu/project/id/101123866). This is an
exciting opportunity to join a cutting-edge team at the intersection of
neurophysiology, biomechanics, and rehabilitation robotics (
http://bit.ly/NMLTube).

*Project Overview*
As a postdoctoral researcher in this project, you will work on breakthrough
technology for non-invasive biopsies of skeletal muscles, specifically
targeting the lower limbs. You will employ high-density electromyography
(HD-EMG) and ultrasonography, combined with advanced statistical and
machine learning techniques, to characterize muscle properties at multiple
scales. Key focuses include:

   - *Motor unit phenotype distribution*
   - *3D muscle fascicle morphology*
   - *Muscle inflammation levels*

You will validate these non-invasive measurements against invasive biopsy
samples and advanced imaging techniques, working with both healthy
individuals and post-stroke survivors in the context of rehabilitation
robotics and regenerative robotics technologies.

*Key Responsibilities*

   - *Longitudinal Experimentation:* Help conduct 12-week studies with both
   healthy participants and stroke patients.
   - *Advanced Muscle Monitoring:* Use HD-EMG, ultrasound (USG), and force
   dynamometry in combination with machine learning to predict structural and
   inflammatory changes in muscle over time.
   - *Data Analysis:* Set up robust HD-EMG and USG data repositories for
   analysis and model training.
   - *Validation: *validate noninvasive biopsy results against reference
   data derived from invasive biopsies.
   - *Collaborative Innovation:* Work with experts in robotics, control
   engineering, and muscle biology to develop robotic rehabilitation
   technologies for skeletal tissue regeneration.

*Application:*
*Apply by November 28th following the instructions outlined at this
link: **https://bit.ly/4evuJhv
<https://t.co/6y64Dk1Dm0> <https://bit.ly/4evuJhv>*

---
Massimo Sartori
Full Professor and Head of Chair, Neuromuscular Robotics

Lab Head, Neuromechanical Modeling and Engineering Lab

University of Twente, TechMed Centre, Robotics Centre
Faculty of Engineering Technology
Department of Biomechanical Engineering
7500 AE, The Netherlands

Personal: https://people.utwente.nl/m.sartori
Lab: https://bit.ly/NMLab
YouTube: https://bit.ly/NMLTube



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Listen to our podcast
<https://open.spotify.com/show/3dQjP4kQ9nM3IaD5pHYvxB?si=6d90a5aeb6eb485f> on
AI-powered Digital Human Twins!
Watch our work
<https://ntr.nl/Focus/287/detail/Geprinte-benen/VPWON_1353472> on bionic
legs featured on Dutch TV!

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