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framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to create
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 27 days ago
19 Jan 2026 Job Information Organisation/Company Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt Research Field Medical sciences Researcher Profile Recognised
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particle physics, computer science or a related field Experience with large-scale data management using grid or cloud technologies Experience in one of the on-site experiment would be an asset Familiarity
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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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9 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany
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27 Jan 2026 Job Information Organisation/Company Deutsches Elektronen-Synchrotron DESY Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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the Excellence Cluster for Systems Neurology (SyNergy ) and a Leducq Network on Brain Endothelial Cells. Our environment As part of the DFG-funded Excellence Cluster SyNergy, member of large collaborative research
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in close cooperation with theory. An interest in modern methods of data analysis is therefore highly welcome. The required qualifications include a PhD in Chemistry, Physics or Materials Science, as
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Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation