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Field
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans’ and animals’ shape
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and at most 17 hours. Be part of change CAE modelling and numerical simulation (e.g. sheet metal forming processes using ABAQUS, etc) Develop data-driven and machine learning-based models to improve
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, air quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation
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Cognitive Science, Medical Informatics, or a comparable quantitative discipline Proven hands-on experience working with LLMs, foundation models, multimodal AI systems, or related machine-learning technologies
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of machine learning models What you contribute Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical engineering or related courses with
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Engineering (MEP) as well as the Munich Institute of Robotics and Machine Intelligence (MIRMI). Responsibilities The responsibilities include research and teaching as well as the promotion of early-career
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Join our scientific team in the multimedia communications group in a key position in
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engineering, robotics or a comparable field Basic knowledge of Python, ideally with PyTorch Familiar with ROS2 Interest in AI agent architectures and human-machine interaction Enjoy programming and are eager
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project, modern machine learning (ML) methods will be developed, trained, and tested based on these real-world datasets—ideally integrated directly into ongoing plant operation. A key application example is