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12.12.2024, Wissenschaftliches Personal The professorship “Big Geospatial Data Management“ is looking for academic staff (multiple position for different career levels) to support our research in
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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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Steinrück), we investigate mechanisms and processes of chemical hydrogen storage using advanced methods (including large-scale research facilities) as well as modern data reduction and data evaluation methods
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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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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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Description/content BIGS DrugS was founded in the year 2010. It is part of the BIGS (Bonn International Graduate Schools ) umbrella programme for structured doctoral programmes at the University of Bonn. BIGS
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phenotyping and computational approaches. Previous experience with metabolic research, large data sets and molecular biology is required. A strong motivation for teaching and student supervision is a plus. Our
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semester Application deadline The deadline for the DAAD EPOS scholarship via BIGS-DR is 31 August for the following academic year. For applicants with secured funding, the deadline is 1 May for a start in
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis are the focal points of our work. Fraunhofer IAIS is at the center of a strong research