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Field
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National Laboratory (ORNL). The NEEM Group focuses on pushing the limitations of materials, sensors, and experiments through technology development, advanced instrumentation, irradiation experiments, and
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troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system
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technological dissemination initiatives, particularly in the field of Physical or Electrical Engineering . Development of algorithms, support for the installation of the DAS, and real-time event monitoring. WORK
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may
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radiative flux products using four sensors on EarthCARE - Observational diagnostics of cloud, precipitation, and radiation processes and evaluation of numerical models through multi-satellite synergy [Work
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integration tasking on new undersea systems using sensor technologies alongside embedded computers running Linux-based operating systems. Responsibilities Software Development Lead: Work closely with project
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locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
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on complex system subject to various constraints. Design and develop real-time algorithms. Simulate and evaluate system performance. Document research outcome to publish at international conference / journal
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satellite datasets and employ near-real-time server-side algorithms for time-series analysis and the generation of value-added geospatial maps. To enhance the sustainability performance and competitiveness