year PostDoc Fellowship: Non-Invasive Biopsies of Skeletal Muscles via Advanced Bio-signal Processing and Machine Learning
Universiteit Twente
Hours38 hr.Salary indicationSalary gross/monthly
based on full-time€ 4,020 – € 5,278Deadline28 Nov 2024The at the University of Twente invites applications for a 3-year postdoctoral position funded by the . This is an exciting opportunity to join a cutting-edge team at the intersection of neurophysiology, biomechanics, and .Project OverviewAs 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:
You will validate these non-invasive measurements against invasive biopsy samples and advanced imaging techniques, working with both healthy individuals and post-stroke survivors.Key Responsibilities
Your profileWe are seeking a highly motivated individual with a strong background in:
Qualifications
Our offerWe offer a position with a generous allowance:
Information and applicationApply by November 28th, 2024. Applications must include the following documents:
The first-round interview will be scheduled in the week of December 9th.For questions, please contact Prof. Massimo Sartori, mail: m.sartori@utwente.nl. Please, only apply via the web platform and not via email.Share this vacancyAbout the organisationThe Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first’ university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor’s and Master’s students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.Want to know moreSartori, M. (Massimo)
Full Professor and Chair of Neuromuscular RoboticsSartori, M. (Massimo)
Full Professor and Chair of Neuromuscular RoboticsDo you have questions about this vacancy? Then you can contact Massimo for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.
€4020 – 5278 per month
Enschede, Overijssel
Wed, 13 Nov 2024 08:50:48 GMT
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