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researcher with expertise in the area of spiking neural networks and an interest in (applications of) probabilistic computing. The postdoc candidate will participate in the NWO NWA project "Acting under
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within the PV RESILIENCE projects. You will work closely together with the technology developers in companies and knowledge institutes the project to support their development process while also publishing
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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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demonstrable outputs. Knowledge and experience with data analytics and the capability to quickly learn new hardware/software techniques. Ability to independently organize his/her own work, to solve problems
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on the gathered knowledge, the postdoc will identify separation processes most suitable for scale up for products from CO2 electrolysis. Furthermore, the postdoc will demonstrate integration of continuous lab scale
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instrumented beam equipped with a multi-channel flatfish detection system, and (2) a validated prototype of a multi-channel detection system for fish entering the net. The focus will be on implementing fish
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construction materials? And collaborate within an international consortium of architects, materials and textiles scientists, and engineers to help translate bio-inspired knowledge to the development of modular
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to
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to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands