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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation
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processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML, graph theory, and optimization techniques Furthermore, our
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involving different decarbonisation technologies, as well as the development of AI-driven decision-making tools for optimising low-carbon marine powertrain designs. This position is part of the Horizon Europe
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of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different
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. Lead synthesis of chemical reactions and design of biomaterials including hydrogels, nanofibers, and microneedles. Design, fabricate, and optimize biodegradable microneedle patches for transdermal drug
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photovoltaic devices for enhancement in the efficiency of the solar cell. Optimize experimental conditions for the improvement in the photoluminescence measurements. The synthesis of homogeneous quantum dots
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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. This project explores converting temperature differences in buildings into electricity using flexible TEG generators, potentially generating 10-20 W per square meter. Our project addresses challenges in