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8 Apr 2026 Job Information Organisation/Company University of Potsdam, Department of Human Resources Department Department of Human Resources Research Field Computer science » Other Researcher
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8 Apr 2026 Job Information Organisation/Company University of Potsdam, Department of Human Resources Department Department of Human Resources Research Field Computer science » Other Researcher
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
Sciences and Biostatistics (Dr. Juliane Liepe) invites applications for a Scientific IT Specialist / Research Software Engineer (f/m/d) Key tasks Maintain IT systems and research computing environments
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
Familiarity with high-performance computing environments or cloud computing. Experience with workflow tools (e.g., Snakemake, Docker, Singularity). Experience in interactive data visualisation and dashboard
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TwinCloud, we are looking for a Student
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, including fine-tuning techniques, RAG, and agentic workflows. Knowledge of wireless network, including WiFi, O-RAN, vRAN, and edge/cloud computing. Excellent programming skills in Python and popular
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and frameworks Cloud Native & Scaling: Work with cloud services (AWS, GCP, or Azure) - you are familiar with containerization and microservices, or are interested in learning more Mobile Apps
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large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
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university with internationally recognized quality standards. Good understanding of networking, storage, cloud computing, virtualization, and application technologies, and their associated security principles
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implement machine learning algorithms to model and analyze dynamic phenomena in milling processes Explore and apply Physics-Informed / Physics-Guided Machine Learning approaches Design and develop cloud-based