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Harnessing Nonlinear Dynamics: From Data-Driven Discovery to Engineering Job description Nonlinear dynamics lies at the centre of many mechanical systems, from large-scale structures to nanoscale
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a limited functionality. The idea is that only a limited number of active array elements are required, and that the overall antenna gain is realized by means of a low-cost construction, e.g. metal
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Discovery to Engineering Job description Nonlinear dynamics lies at the centre of many mechanical systems, from large-scale structures to nanoscale devices. Yet, predicting and exploiting nonlinear behaviour
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flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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mucin-hydrolase activity in bacterial secretomes and patient samples. A successful candidate will gain training in chemical biology, enzyme biochemistry, structural biology and probe development, while
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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and
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a solvent. The porous structure of the membrane will be guaranteed by using a advanced foaming approach, that will also allow control over the membrane porosity and pore size. There will be a strong
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these dynamics is timely and essential. The project offers the opportunity to explore questions such as: To what extent does joint physical custody structure or constrain parents’ spatial mobility? How does
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analysis and statistical methods Can think out of the box, distinguish main lines from details, and provide structure to their work Excellent working and communication skills in research & clinical
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dynamics and learning in artificial and biological neural networks, with the aim of: Unveiling the link between network structure and neural representations. Understanding the impact of structural and