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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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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 hours ago
of the large spectrophotometric data sets including uncertainty quantification. Combine the differently spatially and temporally sampled data sets to obtain a 4 dimensional view of organic matter products in
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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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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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11 Sep 2025 Job Information Organisation/Company Institute of Ophthalmic Research, Center for Ophthalmology Tübingen Research Field Biological sciences Researcher Profile First Stage Researcher (R1
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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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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
). The successful applicants will be part of a large, multi-disciplinary team located in Tübingen and Paris, with PhD research projects in neuroscience and ophthalmology, covering a wide range of interrelated