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estimation of rotating tools. Direct tool wear characterization will be based on optical measurement systems and data processing to achieve wear feature recognition and quantification. Indirect tool wear
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the Western Baltic Sea. The PhD Scholarship includes before-after control-impact (BACI) studies as well as underwater footage to determine fish abundance (MaxN) and biodiversity of mobile fauna (e.g. shore crab
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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systems To disseminate your research in conferences and high-impact journal papers. To contribute to the education and supervision of Bachelor and Master students. Strong collaboration with industry and
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theoretical and computational work in topological photonics and nanophotonics. Day-to-day project activities will include numerical computation and theoretical analysis of the photonic properties of candidate
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education, you will follow courses and assist in teaching activities, and: You are expected to spend a period at a foreign research institution You will disseminate your work in international peer-reviewed
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frequently You will have frequent meetings with the group leader You are expected to be part of larger experiments not in direct association with this project As part of your PhD education you will have to
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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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at the University of Queensland. Work closely together with lab technicians who carry out analysis for characterization. Participate in the supervision of students and contribute to teaching activities at both