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Job Description Are you passionate about environmental contaminants, food safety, marine ecosystems, and creating real-world impact through cutting-edge analytical and data-driven approaches? Do you
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and transport systems, within the ELLIS network. The project is fully funded through the Novo Nordisk Foundation Data Science Distinguished Investigator programme. You will be based in the Intelligent
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enjoy working analytically with quantitative data, approaching research questions thoughtfully, and learning new methods and theories. You can work independently while contributing actively to a
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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full
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conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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begin with designing appropriate device geometry employing a broad spectrum of analytical, semi-analytical, and numerical techniques. Based on the results of the design process, a device will be
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, process optimisation is costly and unpredictable, impeding the sustainability and economic viability of fermentation-based manufacturing. To fix this, you will develop and test new methods for data
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, with a focus on policy, economic, and cultural implications. The center is recognized for its strong profile in analytical demography, demographic modeling, and forecasting. Its research meets