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for spatiotemporal wound monitoring and patient-specific, timely wound treatment. Your tasks In this PhD project, you will develop sensors integrated in adaptive wound dressings. The sensors will be designed by
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carrying partially unknown loads. This uncertainty results in conservative estimates of braking rates and dynamic performance, reducing efficiency both at the individual train level and across the network
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temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to better understand the tradeoffs related to cooling technology
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applications Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs) The PhD student will have the opportunity to conduct both methodological and applied
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a
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. Together with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of bio-based hybrid materials. The goal
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. Together with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of advanced hydrogels for wound care
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with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of sustainable biocomposite materials. This project is
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the implementation of mechanical testing combined with a variety of sensors to follow changes in the structures. You will use a range of surface analytical techniques to characterize the detected changes. You will
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an interdisciplinary team and participate in collaborating with other PhD and Postdoc members. The position will be held in the Microbial Physiology and Resource Biorecovery laboratory (MICROBE) led by Dr. Wenyu GU