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Field
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such as novel sensors and computers. Working conditions The working atmosphere at the institute is largely determined by young, enthusiastic, mostly foreign employees. Communication is informal and runs
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
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drugs. These applications involve collaborative projects with industry partners (already funded) or academic partners. For these three examples, this metrological approach to sensor development involves a
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the photonic integrated circuit (PIC) sub-system of TESERACT (Twin Earth SEnsoR Astrophotonic CubeSat), a 6U mission demonstrating chip-scale spectroscopy in space and de-risking astrophotonic
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring
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satellites and space payloads. The laboratory features an advanced electronics development environment equipped for precision soldering, calibration, functional testing, and sensor characterization. A
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questions, and be able to think critically and develop your own scientific ideas. Previous experience with machine learning, wearable sensors, haptics and control systems is an advantage but is not required
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involved, ability to work in the field, including extended walking and carrying of heavy loads Process-oriented thinking and hydrological process understanding Interest in sensor development Excellent
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on sensors & actuators, seismic attenuation and controls. Seismic noise is a dominant low-frequency limitation for ground-based gravitational wave detectors, and is mitigated by multi-stage attenuation systems
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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets