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to develop and apply quantum sensors to problems in biophysics. Quantum sensors exploit the coherence and state-dependent response of individual quantum systems to detect magnetic, electric, and
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, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient communities
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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of traditional computers and sensors with intrinsically quantum, molecule-based devices that are energy efficient as well as fast and adaptive. In this setting, reliable, swift, all-electron calculations
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
collection from air- borne (unpiloted aerial systems) and vehicular mounted sensor systems for determining pavement functional and structural conditions. The project that the candidate will be working on is
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with sensor system integration • Familiarity with experimental data analysis and custom device fabrication for materials characterization. • Ability to work effectively in interdisciplinary
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group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource efficient printed electronics on flexible
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, APIs, BIM platforms, simulation tools, sensors, or robotic hardware. • Ability to engage with academic, industry, government, and professional-society stakeholders. Required Training and Other Conditions
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware