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Digital Health Technologies for Real-Time Processing of Optical Brain Imaging Signals The Rehabilitation Engineering Lab (RELab) at the Department of Health Sciences and Technology at ETH Zurich is an
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) and a cortical, focal optical imaging approach using near-infrared imaging (NIRI). Our goal is to combine these two promising technologies and transfer them into a clinically viable solution to provide
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Your position Magnetic resonance imaging (MRI), developed in the early 1970ies, offers exceptional soft tissue sensitivity and has powered the astounding progress of medicine in the past fifty years
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stenosis. A critical aspect of this project is the use of advanced X-ray analysis tools, including micro and nano X-ray tomography, as well as the application of image processing and analysis techniques and
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Python programming Image processing, computer vision and programming in related languages Computational simulation, finite element method and related language programming Applicants are requested to send a
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Python programming Image processing, computer vision and programming in related languages Computational simulation, finite element method and related language programming Applicants are requested to send a
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recent data have uncovered that tissue-specific properties cooperate with biochemical signals to influence the surveillance mechanisms of local immune cells, in a process involving nuclear mechanosensing
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on the data management system LabKey, to integrate data and metadata from several technology platforms at the university (sequencing, proteomics, biobanks, imaging, etc.) with other structured data generated in
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sensorimotor function in persons with neurological injury, to promote sensorimotor recovery and independence. Project background In the optohive project, we have developed a novel brain imaging system that is
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Description of the offer : In the Laboratory for Multifunctional Ferroic Materials we investigate materials where strong coupling between electrons leads to novel types of ordering processes