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Field
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the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be repaired, reused, or discarded requires
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elements for in-materia computing, as part of a joint theoretical/experimental program carried out at AMOLF (Amsterdam) and TU/e (Eindhoven). Computing with artificial neurons takes inspiration from nature’s
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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understanding of lithium mineral systems is clearly needed to support exploration efforts for this energy critical metal. The PhD student will explore the geochemical behaviour of lithium in the Earth's crust as
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adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
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++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
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performative columns, and cladding systems, while also drawing from historical and vernacular knowledge? Then join us in advancing digital fabrication for a post-carbon built environment! Information This fully
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exchanges. A special element will be the design of EXPLORA kits: through teamwork with other doctoral candidates in the network you will make an EXPLORA kit forming a meaningful contribution towards science
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the optimal mimic size for contrasting ecological settings in field experiments. Both PhD candidates will closely work together, and with a post-doc that will analyse patch-size dynamics as well as a post doc
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to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD simulations. Job