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Field
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to research, develop, and evaluate algorithms for a variety of geospatial, signal, and/or image processing applications. The successful candidate will have a solid background in computer science with strong
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) sensor data. This will be a small system-on-chip designed to operate on the edge (i.e. close to the sensor). The project will explore whether emerging logic-based ML algorithms can be translated
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decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g
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to operate on the edge (i.e. close to the sensor). The project will explore whether emerging logic-based ML algorithms can be translated into smaller, faster, more energy efficient and cost-effective hardware
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-resolution wearable sensor streams, and endocrine test outcomes. Intelligent Artifact Detection: Develop cutting-edge Machine Learning algorithms to automatically identify, flag, and mitigate data artifacts
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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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ABOUT GHENT UNIVERSITY Phd position Markerless Motion Capture using Wearable Sensors Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education
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impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport
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to seamlessly integrate complex hormonal data, high-resolution wearable sensor streams, and endocrine test outcomes. Intelligent Artifact Detection: Develop cutting-edge Machine Learning algorithms
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To strengthen our team in the division “Fibre Optic Sensors” in Berlin-Steglitz, starting 01.05.2026, we are looking for a Research associate (m/f/d) in the field of in the field of electrical