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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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willingness to expand into population and ecological genomics is essential Structured, analytical thinking and a systematic, careful working method Enthusiasm for interdisciplinary collaboration with
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Investigator (PI) Prof. Newig, one postdoctoral researcher, and four doctoral researchers, each focusing on one analytical stream: (1) sustainability performance, (2) democracy, justice, legitimacy, (3) global
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coordinate national and international in-situ analytical campaigns, performing on-site documentation and analysis in collaboration with partner institutions. • Support students supervision (Bachelor’s
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28.01.2026, Academic staff We are looking for a team lead with knowledge in electrochemistry that will lead our activities in RDE/RRDE and flow cell operation coupled to operando analytics, e.g. ICP
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development and data analytics skills Hands-on mentality with first practical experience in developing innovative technology Inquisitive and passionate about research and knowledge transfer Independent
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and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and spoken