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for effective tool wear management. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic
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manufacturing platforms, data engineering, and AI-powered maintenance solutions—key capabilities for driving efficiency in the competitive semiconductor industry and beyond. You will explore how operational
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significant experience in biomanufacturing upstream and downstream modelling, alongside a strong understanding of recent trends in digitalization within biomanufacturing and Industry 4.0 enabling technologies
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on developing energy-efficient, privacy-preserving IoT systems to enable proactive elderly care at home. More specifically the main responsibilities of the PhD candidate will include: Designing and deploying
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develop protein-based solutions. Manage a multidisciplinary research team, including post docs, PhD students and Msc students. Supervise and guide the team’s research projects related to novel protein and
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“STOREDGE”. You will be part of a very dedicated team with a senior project manager and several more PhD and postdoc researchers, focusing on cutting-edge and applied research to address the challenges
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monitoring Statistical analysis and modelling of relevant data (e.g. environmental data). Publishing results in peer-reviewed scientific journals. Fisheries management and conservation (e.g. biodiversity