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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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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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, particularly in applying advanced screening tools, such as high-content imaging (Cell Painting) to uncover effects of exposure to (nano)particles and chemicals. The position is hosted by the School of Medical
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initiatives in applications of genomics and proteomics Integrate sequencing data from external and public resources to improve clinical research outcome Supervise postdocs, graduate students and technical
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Description of the workplace The Department of Building and Environmental Technology has a stimulating and international environment consisting of PhD students, postdocs, teachers and researcher
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(e.g. from postdoc or doctoral studies) from another university/institute or relevant experience from industry/public sector. Documented experience in applying for research funding from the EU and/or
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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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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specialist qualification. The clinic is equipped with a QHorse, a Qualisys system for objective lameness assessment. At the University hospital we have a diagnostic imaging clinic, equipped with large animal
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Evacuation and Human Behavior in the Event of Fire. The group consists of two senior researchers, an assistant university lecturer, a postdoc and several doctoral students. The work environment is