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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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methods and modelling approaches applied to the full range of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global
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neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities
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neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
communication skills Ability to work in a team setting and be self-motivated Other Requirements: Established publication record in peer reviewed journals Preferred Qualifications: Experience with GIS, UAV data and
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stress. Responsibilities: Monitoring PV panels: temperature, efficiency, dust accumulation. Using environmental sensors and thermal cameras (UAV/IR). Comparative analysis of PV configurations: with vs
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of antenna design for UAV communications as per August 1, 2026, or as
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in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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on lab testbeds (e.g., O-RAN SC/srsRAN/OAI/ns-3), integrating SMO/RIC pipelines and UAV/vehicular edge components. Implement rigorous experiments, data pipelines, and performance evaluations; harden