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, Darwin Core) Collaborate with experts in biodiversity, taxonomy, and collections at the SDEI and SGN to align text mining approaches with digitization strategies, collection development, and legacy data
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data for automatic documentation of a worksite within the Marie Skłodowska-Curie Industrial Doctorate (ENGAGE Network). ENGAGE Network PhD Position Mobile working machines (MWM) are critical
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ENGAGE Network at TUM and GIM Robotics. About the ENGAGE Network Mobile working machines (MWM) are critical to industries like construction, mining, and agriculture, and key to Europe’s sustainability and
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2 Oct 2025 Job Information Organisation/Company Karlsruher Institut für Technologie (KIT) Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 31
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Regensburg and the German Mining Museum in Bochum. The project situates Eastern Europe in the historical geography of global capitalism by identifying commodity frontiers in the region. It explores
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
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2 Oct 2025 Job Information Organisation/Company Karlsruhe Institute of Technology (KIT) Department Institute for Mechanical Process Engineering and Mechanics Research Field Engineering » Chemical
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 1 month ago
available contextual environmental data Apply and test novel approaches on datasets from a deep-sea mining test site and an Arctic deep-sea time series and interpret results in their ecological context
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics