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dedicated to the ESA-funded Rover Permittivity Sensor. The expected starting date is February 2025, with an initial contract limited to 2 years and a possible extension. About us: We are strongly dedicated
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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? Join our vibrant team in designing and demonstrating cryo-CMOS integrated circuits to interface quantum computers and quantum sensors! Job description Quantum computers promise to solve problems
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combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position for you! About us Our team is part of the Division
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, Mesoscopic Physics/Nanoscience , Metrology , MOTRIMS , Multi-messenger Astronomy , Nano- and Optomechanis , Nanomechanics , Nanoscience , Nanotechnology , Network , Networks , Neutrino Astronomy , Neutrino
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
focused on environmental applications for air quality management. This will include acquiring datasets related to multiple air quality sensors from diverse data sources, develop open-source, easy to use
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, and how these molecules interact within cells to form complex functional networks. We are also working towards applications of our knowledge to address important real-world problems. PhD: 3-4 years full
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, and treatment across the lifespan Digital behavioral health interventions integrated into primary and specialty care Wearables, sensors, or digital biomarkers for remote patient monitoring and early
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environmental sensors. ● Demonstrated experience with conventional construction or shop tools. ● Computer aided design software experience, such as SolidWorks or AutoCAD. ● Proficient with Microsoft Office and
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experimental data from IoT sensor networks and near real-time simulations. Conduct sensitivity analysis under varying operational conditions, including environmental factors such as temperature and load