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underlying pain and distressing symptoms in people who are no longer able to explain their suffering. The project will combine traditional assessment scales with sensor-based measurements, with novel analyses
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traditional assessment scales with sensor-based measurements, with novel analyses based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research
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potential of these measurements, there is a strong need of developing AI algorithms able to do real-time analyses of such data. Your immediate leader will be the Group leader of Manufacturing Engineering at
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. The goal is to contribute broadly to research on applications of AI in medicine, and in particular to the development and validation of novel computational language models, algorithms, and tools
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Scientist in Integrated Photonics to join the Department of Smart Sensors and Microsystems and contribute to the EU’s Quantum Pilot Lines. You will be part of a leading European research environment with a
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integration of signal processing and machine learning methodologies aiming to interpret distributed acoustic sensing (DAS) data from production wells (both new and previously acquired sensor data). The main use
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education in two or more of the following areas: Data collection and analysis Instrumentation and sensor usage Applied physics Autonomous/semi-autonomous systems Cybernetics Machine learning The candidate
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, algorithms, and tools for spoken language-based detection of clinical change. General information about the position: The position is fixed term for a duration of three years. Appointment to the position
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Ability to work independently as well as in teams. Work in a structured way, set goals and make plans to achieve them, result-oriented. Excellent analytical skills, analyze data, assess different
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By