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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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Are you an expert in wearable/flexible electronic sensor technology, bioelectronics, biosensors and real-time health monitoring? Are you looking for a career development opportunity with a
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
that you help us to solve that problem! The objectives are to develop a world-wide accepted new standard for testing large systems in RC, by comparing the newest fast EM sensor systems, comparing performance
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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conventional, frame-based sensors in comparison to event-based sensors, which are more commonly associated with neuromorphic computing. This work will support mission design decisions regarding the suitability
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couplings—a key technology for achieving passive, high-precision, and deterministic alignment between precision components. Unlike active alignment methods that rely on actuators and sensors, kinematic
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operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
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gathering, sensors interaction and wireless data relay to mission control centers. Interns are sought to support specifically the hardware development of this exploration tool to improve, extend and test its