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Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
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this project, we aim to: Develop real-time ultrasound algorithms to estimate fascicle length in antagonistic leg muscles (tibialis anterior and soleus) in healthy individuals during walking. Translate and
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, spinal cord injury etc) through real-time neural control of wearable robotic exoskeletons. You will be developing next-generation (low and high-level) control algorithms for wearable exoskeletons that use
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of stroke patients and healthy volunteers. Developing algorithms for identifying and excluding motor unit filters associated to impaired motor units. Integrating real-time-decoded features of motor unit
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annually worldwide) under high temperatures and pressures, posing scalability and sustainability challenges. FASTER will develop and demonstrate a novel, mild-temperature ammonia synthesis process (TRL4) and
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collaborate closely with a postdoctoral researcher at UMCU, medical educators, VR developers, and other researchers to ensure the real-world relevance of your work. Information and application Are you
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Responsibilities: Develop an overview of available materials and the fundamental processes that can lead to either densification or expansion upon heating in two-material multilayer. Synthesize multilayers
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diagnosis and treatment, the device must reach its intended target. In order to increase the targeting accuracy of the procedure and improve clinical outcomes, the goal of this research project is to develop