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remains limited, with numerous fabrication challenges yet to be addressed. This collaborative project in close collaborration with partners at ETHZ and TU Delft aims to bridge the gap in current medical
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. This project is intended to perform numerical studies and develop a methodology for the numerical analysis aimed at the effective damping of resonance regimes in bladed disks of gas-turbine engines using
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strategies for SNAREopathies". We use technology to produce human neurons and create human neuronal networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain
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the comprehensive field of Earth System Modelling, with emphasis on the interactions between the natural and the human systems. The scientific subject is the development, application and evaluation of a hierarchy of
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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programmes in the world. Fouchier has involved numerous young researchers in all his initiatives. He has supervised many PhD candidates and students: eight team members or former team members have started
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: This position is ideal for candidates with a background in civil engineering, structural engineering and mechanical engineering. Applicants should demonstrate: A strong interest in both experimental and numerical
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qualification (usually PhD). Tasks: The aim of the project is to design, model, fabricate and test a wireless micro-sensor which uses magnetic fields for sensing in biological soft tissues. For further
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models based on survey and secondary data. Creative approaches to combining and leveraging various data sources are highly encouraged! The selected Ph.D. candidate will benefit from our outstanding