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multiple sclerosis—leads to impaired movement, unstable gait, and reduced quality of life. This project will develop an adaptive stimulation interface that uses real-time position-sensor data to estimate
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from intensive longitudinal studies with apps and sensors to in-depth embedded ethnographic research. Together with stakeholders, we design tools and interventions, such as VR training, learning
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bioprinting, tissue culture, microfluidics, sensors and microscopy. In addition to this high-end equipment, the facility will develop unique wavefront shaping microscopes for imaging inside the complex culture
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement learning. Deep
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control algorithms lies a physics-based simulation model, whose accuracy largely determines the effectiveness of the control loop. Position 3 – High-fidelity simulation of the LAFP process Current
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bioprinting, tissue culture, microfluidics, sensors and microscopy. In addition to this high-end equipment, the facility will develop unique wavefront shaping microscopes for imaging inside the complex culture