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12.02.2026 Application deadline : 15.03.2026 The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers a position as Research Data Steward
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environments) into a unified control system Testing, troubleshooting, and ensuring reliability of automated beamline operations under extended deployment conditions Design and implementation of data acquisition
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field, with several years of experience in distributed databases, large-scale data management, and data archiving Proven expertise in handling large datasets, particularly in geospatial and diachronic
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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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. Hoffmann’s research group, an innovative project is being conducted on the processing and analysis of seismic data from a large-scale Distributed Acoustic Sensing (DAS) network. This network is installed
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large Cluster of Excellence. The position offers broad opportunities to collaborate within MATH+ and across Berlin’s vibrant mathematics and data science community.
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Financial Intelligence Units (FIUs) and law enforcement authorities process large volumes of Suspicious Activity Reports (Geldwäscheverdachtsmeldungen - GVMs) containing unstructured text and
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scientific staff PhD in Computer Science or a related field, with several years of experience in distributed databases, large-scale data management, and data archiving Proven expertise in handling large
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science) and includes doctoral positions at all locations. Your tasks will be: Analysis of large online data sets (e.g., social media, platform data) to identify patterns of disinformation using state
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of the following topics: data collection, information extraction using large language models (LLMs), machine learning (ML), natural language processing (NLP) Expertise in software development with