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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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wall-clock time on available hardware. Thirdly, the quest of generality, namely the ability to simulate a variety of flows within a single software package has been a target in the development
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
human impacts on Southern Ocean biodiversity. Across both projects, the position will contribute to polar biodiversity monitoring, data synthesis, indicator development, and the translation of ecosystem
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. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and machine learning Good knowledge in software development, data processing and visualization with Python
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for doctoral candidates in the life Sciences in Giessen: https://www.uni-giessen.de/de/fbz/zentren/ggl/dateiblock/Lifeline List of doctoral programmes and other offers Our Doctoral Development Programme
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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this Center: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods