804 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" uni jobs in Germany
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Solution Architect Reference number: 2026-0039 The Division of Intelligent Medical Systems (IMSY) is an interdisciplinary research division working at the interface of computer science, physics, statistics
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, or similar domains) is a plus Solid understanding of cloud architectures and ML-Ops (AWS, Azure, or GCP) Familiarity with privacy-preserving or distributed learning approaches (e.g. Federated Learning) Comfort
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Sensibilität bezüglich Datenschutz- und ethischer Anforderungen im Umgang mit Cloud-Services und Nutzer∗innendaten Sehr gute Deutsch- und/oder Englischkenntnisse (C1+) Wir bieten: Teilzeitstelle (19,75 Stunden
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The Leibniz Institute for Tropospheric Research (TROPOS) is a research institute of the Leibniz Association and an internationally renowned institute in the field of aerosol and cloud research
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19.01.2026 Application deadline: 15.02.2026 The High Performance und Cloud Computing Division at the IT Center (ZDV) of the Eberhard Karls Universität Tübingen seeks to fill one project positions
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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salary is based on the German Labor Agreement for Public Service (TVöD). Your qualifications BSc/MSc in Computer Science or related field. 1–3 years of experience in modern software and infrastructure
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in theoretical and computational modeling of biological processes. The activities of the research group should complement the existing groups at BioQuant, particularly through contributions
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expertise in genetic-epidemiological data analysis in UKBiobank and/or AllofUs. Additionally, you have a PhD/doctorate in a life-science related discipline (e.g., life-science informatics, molecular medicine
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational