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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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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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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
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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, 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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Karlsruhe Institute of Technology (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
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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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
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 2 months 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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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 3 days ago
Relations Office is nonetheless pleased to be able to award a limited number of scholarships to international students already enrolled at BTU. You can find more information on BTU scholarship opportunities
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cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate
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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, palaeoclimatology, micropalaeontology and