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within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, and bio-photonics. Technology for people DTU develops technology for
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spectroscopy experiments (electron-energy loss spectroscopy and cathodoluminescence). The project will focus on the description of layered systems combined with individual photonic scatterers or periodic arrays
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, biomedical sensor and AI algorithm for cancer diagnosis. This project aims to develop a miniaturized robot and bio-sensor for on-site laryngeal cancer diagnosis. The candidate can contribute to one
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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life of CNAP (e.g., research meetings, Round Table Meetings, seminars, social activities). Develop a solid background in pain neuroscience that will allow you to foster a curious and critical sense