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arms performing delicate physical interaction tasks. Your project is partially funded by a Knowledge and Innovation Covenant (KIC) grant from the Dutch Research Council (NWO) entitled “STEADFAST – Swarm
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are required. This necessitates re-invention of processes that are in use since early days of the industrial revolution. Particularly novel separation methods for products from electrochemical synthesis
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-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation
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the powerful synergy of dzITP with MS, the gold standard for metabolomics, to maximize insight into exosome-derived biomarkers. This project will center on the design and implementation of a novel microfluidic
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
, services developed in these infrastructures are expected to bring with them improvements in the management of resources, innovation of operations, and economic gains to public institutions. However, the
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Your job Are you a biologist interested in architecture, design, and engineering? Or an engineer or designer interested in biology? Would you like to contribute to the design of sustainable
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-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based on two current ongoing PhD projects, design and test
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production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental systems to match supply with fluctuating
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patterns to potential future shifts driven by climate change. You will design and implement field trials to assess the effects of drought events on current dike vegetation at selected locations (e.g
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning