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Field
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. ▪ Working closely with partners at TUD and theoretical researchers on algorithm development, performance analysis, implementation, and experimental validation. To be qualified for this position, you should
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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conceptual and practical research using drone detection systems, interceptor drones and other technologies driven by advanced sensors, data communication systems, and artificial intelligence. Are you motivated
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, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people
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donor management, donor health protection, health data use, and algorithm-supported decision making. 2. Stakeholder Perspectives Using focus groups and semi-structured interviews, you will explore
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
rely on the integration of multiple heterogeneous models and data sources, such as sensor observations, simulation models, geographic information systems, and domain knowledge bases. Ontology alignment
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include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system-level analyses of monitoring performance under changing environmental conditions
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and the design of body-frame control laws with guarantees of stability and robustness to disturbances, uncertainties and actuation limits; b) the development of robust estimation and sensor-fusion
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of the built environment and systemic social barriers as contributors to this problem. B4B integrates such perspectives and explores them through a mixture of qualitative, quantitative, and sensor based
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with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing