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Field
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technologies (e.g., remote sensing, UAVs, multispectral imaging). Develop and implement statistical models and machine learning techniques to quantify ecosystem services provided by legumes. Contribute
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areas:Miniaturized optically pumped atomic magnetometers (OPMs) for ultra-low-field nuclear magnetic resonance (ZULF NMR) and magnetic resonance imaging (MRI); NMR MRI with a focus on MRI of microfluidic
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characterization by standard mechanical testing and nanoindentation will also be used, combined with high-resolution STEM imaging. Additionally, biological studies will characterize the in vitro biocompatibility
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either Spanish or English (as chosen by the candidate) and take place using internet communication software (Zoom) that allows voice and image transmission. During the interview, the candidate will present
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for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia and industry, by
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to develop highly performant, CMOS compatible, thermal sensor and microbolometer technology. The project aims to revolutionize thermal imaging technologies for automotive, safety and surveillance by developing
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quantum dot films engineered at the atomic as well as at the supra-nanocrystalline level to address applications related to safety and security, remote sensing, environmental monitoring, thermal imaging etc