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. Optimal sensor placement, identified through adjoint-based sensitivity analysis to improve assimilation efficiency. By embedding physical laws into data assimilation, these methods bridge the gap between
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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and how they fit within the wider context and future of ESA, visit: Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic
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specialized testing equipment. * Repair and modify control components such as valves, sensors, relays, thermostats, meters, and control panels to maintain system integrity. * Analyze and document HVAC system
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telecommunications, lasers and sensors. - Cooperation with the technology team, young scientists, and students. - Publishing the results in scientific journals. - Participating in seminars, conferences, and training
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Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data
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to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
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orbital sensors (e.g., ECOSTRESS, VIIRS, Landsat/MODIS) to build pre- and post-fire structural and functional diagnostics. Develop recovery chronosequences from multi-sensor time series and quantify
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Apply Now How to Apply Applications should be submitted through Interfolio at https://apply.interfolio.com/179362 . Only materials submitted through the Interfolio link will be reviewed. Do not
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to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems that act as autonomous micro