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Field
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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quantitative data analyses. The role involves co-ordinating a large study and liaising with clinical participants, so the ideal candidate would have exceptional interpersonal and organisational skills. Further
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microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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the understanding of large-scale irrigation-atmosphere interactions. You will use state-of-the-art global satellite remote-sensing data to analyse the impact of irrigation on cloud and rain formation. This will
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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(BIGS Mathematics) Teaching language English Languages Courses are held in English only. The thesis can be written either in German or English. Full-time / part-time full-time Programme duration 6
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fuel in itself or serve as a reactant for the production of fuels like methanol, kerosene or even ammonia. Large scale and fast deployment of electrolysers is highly needed for the displacement