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, focusing on the development of algorithms for proactive decision support in non-stationary warehouse environments. This project aims to study warehouse efficiency across interdependent processes – including
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surgical outcomes. You will work on the development of machine learning algorithms that analyze thermal data and predict vascular performance, significantly contributing to the automation of medical imaging
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the setup and tuning of active control algorithms. The most successful sensor prototypes are foreseen to be deployed in ETpathfinder seismic filters and could potentially be used for the stable recycling
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, etc.) Experience in protocol stack or network algorithm design Knowledge on Time-Sensitive Networking, real-time systems/operating systems, industrial communication, cyber-physical systems…. Knowledge