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DOTs; and development of theoretical foundations and methodologies for communication techniques in sensor development and multi-point tactile force measurement (high-resolution sensing). The position is
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Quantum Materials for Next-Generation Technologies AI-Integrated Smart Sensors for Environmental and Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 3 months ago
products and cloud properties. Other space missions also operated by EUMETSAT, such as the Copernicus missions, will contribute to this network of cloud observations. Within the Clouds and Aerosols
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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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programme Reference Number AE2025-0604 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0604
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operator of onshore wind assets, invites applications for a fully funded PhD position on Risk-Based Maintenance Planning for Wind Turbine Components . This position is part of the MET2ADAPT Doctoral Network
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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, uncrewed systems, and sensors. About You To be considered for this opportunity you will hold a PhD in a relevant discipline and have an internationally recognised track record in the field of Autonomous Air
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to develop cutting-edge polarimetric optical sensors for Earth and (exo-) planetary exploration. Advance space science, inspire students, and drive the future of remote sensing. Job description Imagine having
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. This position is one of 17 doctoral positions in the European Marie Skłodowska-Curie Doctoral Training Network Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE). The network joins 17