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practices do, can and should deal with the vagaries of multimodal meaning. The PhD project “The Analysis of Multimodal Argumentation” is concerned with the identification, reconstruction and characterization
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record. Proficiency in theoretical aspects of vibration testing and control, as well as the processing and analysis of vibration signals, with an added advantage of familiarity with nonlinear dynamics
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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datasets, and geospatial analysis outputs of the project. Technical support from the RUG Geodienst is available. Contributing to the development of theoretical frameworks within the project, potentially
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architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
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testing, to achieve sub-second cycle times for robotic systems. 3. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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focus on spatial-economic analysis and socio-cultural relations. • Possesses knowledge of, experience with, or demonstrable interest in rural–urban relations, ecosystem and landscape services, socio
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, interdisciplinary approach, regional engagement, and personalized environment. Situated within CF, the Knowledge Infrastructure department (KI) focuses on the development and critical analysis of knowledge