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modern digital infrastructure from emerging network threats. Despite being young, Secura Lab has an excellent track record in publishing at top-tier security and blockchain conferences. At Secura Lab, we
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innovative solutions to protect modern digital infrastructure from emerging network threats. Despite its young age, the lab has an excellent track record of publications in top-tier security and blockchain
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gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding
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the driver to actively participate and accept the interventions. A key component in the project will be to practically test feasibility and assess the performance of algorithms and hypotheses in test track
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aluminium in high-value products produced by mega-casting. The main objective of the PhD project is to develop a finite element analysis (FEA) framework that can accurately predict the mechanical properties
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generative models, AI/ML, polymers, and/or materials science Documented track record of research in the area of the project What you will do Design and implement deep learning (DL) workflows for learning from