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. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine learning models without moving sensitive or large
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applications. If you’re excited by all this, we encourage you to apply. The opening: In this project, you will develop: Detailed, large-scale computer models of the composite human neuro-musculo-skeletal system
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for manufacturing large structures such as fuselage and wing panels. Reliable process control is critical: underheating leads to poor bonding, while overheating causes polymer degradation. At the heart of process
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within the High-tech Business & Entrepreneurship (HBE) department of the Faculty of Behavioural, Management and Social Sciences. This PhD position is part of ADD-reAM, a large multidisciplinary project