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” group, we work on digitizing building data and making it usable for automated applications and optimizations. To this end, we have developed a web app that uses an AI-based pipeline (computer vision, LLMs
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Experience in data processing and data visualization This full-time (39 hours/week) or part-time (at least 30 hours/week) position will start as soon as possible. Remuneration will follow the public service
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Your Job: Building and improving the existing measurement setup Performing controlled "leak" experiments and collecting high-speed data Working in high vacuum applications such as Einstein Telescope
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months 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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Create an interface between CAM and process simulation platforms to accelerate process optimization Exploring different strategies for toolpath optimization Data processing, analysis and visualization
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energy measurements from the pilot plant and comparison of the results with the measurement data Planning, conducting, and evaluating experiments at the pilot plant Derivation of optimal operating
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Practical experience in analyzing and visualizing process data from an industrial manufacturing plant in the field of additive manufacturing A great team and an open, collegial working environment Insight
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setups. Scientific Communication: You are skilled in scientific presentation and data visualization, enabling clear and impactful communication of experimental results and insights Language Skills: You
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31.03.2025, Academic staff Scientist with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass spectrometry Our team is looking for a Staff Data
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where