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fellow (m/w/d) starting autumn 2026. The position is for 2 years. The Chair of Data Science in Earth Observation develops innovative signal processing and machine learning methods, and big data
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“Big Geospatial Data Management” and “Information Systems” are seeking to fill a research associate position (doctoral candidate) in close collaboration with each other to support research activities
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and GeoAI 21.05.2026, Academic staff The Professorship Big Geospatial Data Management is seeking to fill a research associate position (doc-toral candidate) to support research activities around
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development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass spectrometry. ProteomicsDB (https://www.proteomicsdb.org/) is an
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
Helmholtz School for Marine Data Science (MarDATA). MarDATA’s interdisciplinary focus spans supercomputing, modelling, (bio)informatics, robotics, statistics, and big data methodologies. Doctoral
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu-Seeland, Brandenburg | Germany | about 2 months ago
. The aim is to explore how the latest developments in seed phenomics and big data analysis can be leveraged in a genebank setting. Each seed in our collection needs to be selected for viability, seed
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big data Familiar with EFT frameworks (specifically event generation with EFT models) Familiar with statistical analysis tools Able to handle combinations of different particle physics measurements
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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methods was launched within IT. The focus is to develop novel, efficient algorithms and methods to cope with the big amounts of data that require processing (incl. machine learning), as well as to
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these topics Contributing to the performance studies of ATLAS About you: PhD in experimental particle physics Experience in the analysis of big data Familiar with EFT frameworks (specifically event