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Field
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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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will collect ego-centric network data using a novel visualized network-data collection tool specifically designed to survey complex personal networks. Objective 2: examining the effect of recognizing
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-organising reaction networks and the emergent complexity in such systems form powerful reservoir computers capable of non-linear classification, times-series prediction and forecasting, on a par or even
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testing) to understand and tailor the physical and chemical interactions within these complex structures. Cranfield University is internationally renowned for its research into materials for extreme
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professional network spanning academia, industry, and national research centres. Through this multidisciplinary project, the student will develop expertise in: Contribute to the development and operation of
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workshops, career development, and networking Join a dynamic institute hosting over ten atmospheric chemistry research groups, offering rich opportunities for collaboration and learning Extensive
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that combines structural biology, biochemistry, and cell biology. The lab is particularly focused on biomolecular interactions, characterizing regulatory complexes, and developing novel therapeutic
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
Vacancies PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems Key takeaways The RS-group and Electromagnetic Compatibility Group within
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of Real Estate and Construction, Faculty of Architecture focuses on transformative sustainability science and climate change research and cutting-edge innovations by gaining insights into complex human
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable