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). ________________________________________ Your Responsibilities • Develop and implement Hyperspectral Imaging (HSI) methodologies for in-situ investigation of cultural heritage objects and architectural surfaces, covering VNIR and SWIR spectral
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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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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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engineering, and quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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. The new system to be developed will be tested and optimized with an existing CargoKite ship prototype in real operation. Previous Work https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530091 https
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purely motor-powered ships and will be marketable as an independent product. The new system to be developed will be tested and optimized with an existing CargoKite ship prototype in real operation
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data