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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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Vacancies Postdoc position for Multi-scale process modelling Key takeaways At the CPM chair we are looking for a postdoctoral researcher to join the EU-funded FASTER project, which aims to enable
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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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Vacancies PostDoc Fellowship: Real-time ultrasound-based control of bionic legs Key takeaways Our mission is to enable intuitive control of powered ankle prostheses for amputees through real-time
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musculoskeletal models to estimate ankle joint moments during gait in stroke survivors. Implementing real-time control strategies for a bilateral ankle exoskeleton based on the validated models. Collaborating with
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treatments. Based on the technologies created in the NeuBotics Lab, you will develop a platform that: 1. Decodes the activity of ankle muscle motor units in real-time link to paper . 2. Evaluates
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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of Twente, is looking for an experienced and motivated postdoc in the field of computational mechanics, skilled in programming and image segmentation. The project is related to multiscale modeling
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towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post