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large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the sampling frequency of self-reports. The current project has three main aims, contributing
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Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe
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. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and navigation data sets as a part of
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towards a new conceptual model that explains the individual dynamics of fatigue. The project will start with an analysis of already-collected data. You will use several forms of time series analysis
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, cargo, harbors etc. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms
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, CTR) Design and implement physics-informed deep neural network architectures which accelerate finding electron bunch shapes self-consistently for large measurement campaigns Implementation and
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30 Sep 2025 Job Information Organisation/Company Uni Tuebingen Department Department of Computer Science Research Field All Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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vessels and ship systems. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and
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25 Nov 2025 Job Information Organisation/Company Faculdade de Medicina da Universidade do Porto Department HR - Human Resources Research Field Medical sciences » Other Researcher Profile Recognised
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aerosol inlet and a FUSION CIMS to analyze the particle-phase organic composition onboard the Zeppelin from 2027 onward Analyze large multi-dimensional datasets using statistical tools such as positive