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Engineering TU Delft seeks a motivated postdoctoral researcher for a full-time, fully funded, 30-month project on Functional Electrical Stimulation (FES) shorts to improve gait after stroke. You will work
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Electrical Stimulation (FES) shorts to improve gait after stroke. You will work closely with Sint Maartenskliniek and Biomex, embedded in the multidisciplinary "Care is coming home!" program, a 5-year
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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gait and behavioral analyses. Disseminate results in peer-reviewed journals and international conferences. The net monthly salary is between €2,200 and €2,380 The contract duration is 18 months Where
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of data acquired from quantitative motor tasks (gait, gait initiation, bradykinesia, rigidity, etc.) using motion capture, force plate, electromyography, and a variety of data acquisition systems and (2
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impairments outside the clinic is essential to support home-based rehabilitation, yet existing markerless motion capture systems are rarely validated on neurological gait patterns and struggle to generalize
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are rarely validated on neurological gait patterns and struggle to generalize across pathology, body morphology, camera viewpoint, and home environments. This position aims to close that gap: you will develop
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of strength, torque, electromyography, dynamometry, and/or motion capture of human gait is preferred. Some background in muscle physiology and cardiovascular function is welcome. Department Exercise Science