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Field
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manipulation, first in simulation and later on real experimental setups Refine a real-time planning and execution architecture for information-driven experiment steering (closed-loop control) Work in an
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modernized, evolving from a collection of individual tools to a modular, maintainable, and testable architecture with clearly defined interfaces and CI/CD processes. This modernization has laid the foundation
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contribute Enrollment (B.Sc./M.Sc.) in Computer Science, Machine Learning, Data Science, or a related field at a university in Berlin or Brandenburg Strong programming fundamentals (Python, JavaScript
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Qualifications: MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field. Solid experience in programming and system architecture design (e.g., Python), workflow
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Positions Country Germany Application Deadline 6 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Combination of on-site and online
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5 Dec 2025 Job Information Organisation/Company Heinrich-Heine-Universität Düsseldorf Department Dezernat Personal Research Field Information science » Other Researcher Profile First Stage
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, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
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, other environmental assessment methods and recycling indicators for the project "RAP5 (Responsible Aim Program 5) – Pre-design – Predictive Device Design" as part of the Cluster of Excellence "REC
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial