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-term reliability. While various contact engineering strategies have been explored, further innovation is needed to enable the widespread adoption of OTFTs in commercial applications. PhD Objectives
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artificial intelligence in the sensor. The main challenges of the proposed mission are the long-term performance of the system designed on an IoT basis coupled with artificial intelligence, which is initially
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of the chosen nanorod mixture. The overall aim is to design systems that spontaneously self-assemble into assemblies with a target (crystalline or quasicrystalline) symmetry within each layer. This project will
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, the REMOD-HEALING project will contribute to scientific advancement and innovation in wound healing and regenerative medicine through a coordinated, interdisciplinary effort, ultimately leading to societal
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essential and can be integrated into the robust design of hydrogen-based e-fuel burners. This PhD project will investigate modeling uncertainties in flame property simulations of ammonia and ammonia–hydrogen
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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about material sciences: how far can we exploit the knowledge gained by these fundamental investigations towards designing efficient, general-purpose LH materials, applicable to functional light energy
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Come and live in a vibrant city, in the heart of the Alps, and Europe's Green Capital 2022 Enjoy a workplace designed to support your quality of life Benefit from our competitive compensation and
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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, symbiosis, methanogenesis, etc.). - Link events to genomic function and context: functional enrichments, proximity of mobile elements, recombination hotspots; establish predictors of genetic innovation