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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
Job Code: 04/2026 Job Offer from February 02, 2026 Astrochemistry Postdoctoral positions on Computational Chemistry (m/f/d) Job ID: 04/2026 The Max Planck Institute for Extraterrestrial Physics (MPE
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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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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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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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, 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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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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The Leibniz Institute for Tropospheric Research 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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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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tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring