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and a strong interest in cognitive neuroscience, brain development, and/or learning. Excellent analytical and programming skills, the ability to work both independently and collaboratively, and
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excellently equipped lab infrastructures; including a state-of-the-art 3D printer and all analytical facilities needed for your research an inspiring environment with international and ambitious teams ample
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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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for measurement automation and data analysis Machine learning or Artificial Intelligence methods You enjoy hands-on experimental work, have strong analytical skills and are motivated to develop innovative sensing
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, and machine learning methods, choosing the approach that best fits the scientific question. Investigate systematically what information is contained in imaging data, how it can be extracted, and how
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learning-based surrogates for physical systems LLMs and scientific agents – large language models that autonomously reason, plan and execute scientific workflows AI for engineering design – LLM-driven agents
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31.07.2026, Academic staff We are seeking a researcher in Scientific Machine Learning (SciML) to join the project "Data science at scale" at the Technical University of Munich, Germany. Ideal
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Excellent state-of-the-art laboratory infrastructure with access to advanced analytical, imaging, materials, and cell-culture facilities Close supervision and strong support for scientific development
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
analysis, image analysis, statistical, and machine learning methods, choosing the approach that best fits the scientific question. Investigate systematically what information is contained in imaging data