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) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including the application of machine learning (ML) methods or large
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semantic querying and reasoning over materials-science/physics corpora Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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11.07.2022, Wissenschaftliches Personal The professorship “Big Geospatial Data Management” is seeking to fill two research assistant (E13) positions to support research activities around geospatial
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05.11.2025, Wissenschaftliches Personal The professorship Big Geospatial Data Management is seeking to fill a research associate position (doctoral candidate or postdoc) to support research
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). The park is situated within a large network of protected forested harboring a diverse community of large mammals including several species of nonhuman primates. We currently observe three large multi-male
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 1 day ago
model analyses with reanalysis data to quantify the direct and causal effects of sea ice changes on large-scale circulation patterns and extreme events. Your Tasks Set-up and performance of large-ensemble
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impact and cascading effects of hazards, precursors of crises and their aftermath, and to identify successful mitigation strategies. While global and regional data bases (pollen assemblages, land cover
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the characterization of these components on 300mm silicon wafers, large amounts of data are generated by extensive electrical measurements. An efficient preparation of data is therefore crucial for short learning cycles
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics