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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between electricity markets and digital technologies in Luxembourg
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limiting their ability to perform essential daily tasks. This interdisciplinary PhD project aims to design a new generation of soft exoskeletons using smart textiles, driven by artificial intelligence (AI
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look for you, a motivated and talented individual eager to gain experience in the sustainability industry in a defined timeframe. This internship allows you to sharpen your skillset and build a track
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or damping properties, in response to stimuli like heat, light, humidity or strain. We follow a radically new approach to make powerful yet low-cost, biocompatible and biodegradable LCEs using polysaccharides
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, Resilience, Smart Industry, Learning, and Health – we empower students and researchers to make a positive societal impact. At BMS, we combine critical thinking with practical action. From advancing sustainable
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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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agroforestry practices to New England’s landscape to enhance sustainable and climate smart food production while ensuring the continued provisioning of important ecosystem services. Interests in
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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utilise the University of Birmingham’s smart campus building data in order to develop a template for such an assessment. In parallel, working the Met Office and their forecasting team, the project will
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sensing, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare, and robotics. The emerging radar sensors in