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Description The Cluster of Excellence “CUI: Advanced Imaging of Matter”, funded by the German Federal and State Governments, combines projects in physics, chemistry, and molecular biology at
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processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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- A scarcity-driven engineering paradigm” is a newly funded Cluster of Excellence and will be established at the University of Bremen from January 1, 2026. In the Cluster, we are looking for one
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architectures Analysis and preprocessing of different data types (texts, images,etc.) Review latest literature and data Orchestration and documentation of deep learning experiments Processing and visualization
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Hospital. The position focuses on advanced medical image analysis in musculoskeletal medicine, with opportunities to take on scientific leadership responsibilities. The AIO group is part of the Department
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single-element SNSPDs as well as kilopixel-scale imaging arrays which have high efficiency in the 2 – 16 µm wavelength range for applications in single-photon spectroscopy. The imaging arrays will be
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DWI Leibniz-Institut für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 20 days ago
looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image Analysis The Project HairSense is a translational project at the DWI – Leibniz Institute
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for NewAthena . Based on state-of-the-art DEPFET technology developed by the Max Planck Semiconductor Laboratory, it will deliver spectroscopic imaging over a large field of view (40′ × 40′), with high spatial