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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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of on-site construction production processes, as well as sustainable development. You will also demonstrate independence, creativity, and strong collaboration and analytical skills. Research environment
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prototype system based on advanced commercial sensors for fall risk assessment and rehabilitation. The project includes both experimental sensor data acquisition and algorithm development. You will be
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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trials with prototype vehicles and human drivers. The position will include some travel to project partners and test tracks. Who we are looking for: To qualify as a PhD student, you must have a Master's
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Analysing biofilm structure and microbial communities Additionally, you will develop a mathematical model that includes both adsorption and biodegradation mechanisms. This model will be calibrated using pilot
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140 PhD students at CSE. Your main supervisor will be Prof. Nir Piterman, with support from a co-supervisor and an examiner. Supervision is structured to guide your academic development, with regular