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across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate
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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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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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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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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
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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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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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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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deployment of IoT-enabled sanitation systems worldwide, there is a critical need for intelligent software platforms that can bridge the gap between complex technical systems and end-users while providing
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand