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Field
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controllers, and PID controls), and preferred sensors (LiDAR and RADAR) is required. Excellent oral and written communication skills. Preferred Qualifications: Familiarity with state-of-the-art models for AI
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, administrators, or patients • Integrating multi-source, high-dimensional datasets (EHR, claims, environmental/socioeconomic data, sensor data) • Contributing to translational research that tightens the loop
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of the Collaborative Research Centre (CRC) 1678 on “Systems-level consequences of fidelity changes in mRNA and protein biosynthesis” (https://crc1678.uni-koeln.de ), scientists from different research institutions in
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. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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thousandths of a proton diameter, which requires going beyond the state of art in a variety of fields including optics, sensors, lasers, materials, cryogenic cooling, vibration damping, vacuum and controls
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: Rare-Earth Materials and Recycling Technologies Sustainable Energy Materials for Green Technologies Quantum Materials for Next-Generation Technologies AI-Integrated Smart Sensors for Environmental and
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), under the project PROTEGE, title “Porous sensors for real-time monitoring of water quality risks”. The call is governed by this Notice of Opening, the University of Coimbra Research Grant Regulations
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diverse data sources, including field-collected biological samples, on-farm sensor data, artificial intelligence–derived outputs, and video-based analytics, to support disease surveillance and control. Lead
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such as protecting 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