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(computer generated holograms) or a computer tomograph with a resolution in the micrometer range. What you will do In the department »Imaging and Sensing«, you will work on versatile research projects in
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benefits, such as diagnosing joint injuries. We mainly use simulations, mathematical motion and shape models, and optimization methods. For building simulations, we use classical image processing and deep
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to develop a monitoring box that can be used at the ocean surface. In addition to the hardware, methods will be developed to capture and process sensor and image data (AI for phytoplankton). Qualification
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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for cutting along the entire process chain - from process design and pre-process simulation
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« »Transport Processes« »Image Processing« »High Performance Computing« »Financial Mathematics« »Materials Characterization and Testing« What you bring to the table The requirements for your field of activity
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Learning Graph Neural Networks Time series analysis Diffusion models Large Language Models Applications in health and medicine-related topics, e.g. medical text, tabular data and image processing, infection
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Our Image Processing department has been specialising in traditional and AI-based image processing for over 25 years. We build industrial-grade inspection systems and develop solutions
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We at the Fraunhofer Institute for Process Engineering and Packaging IVV, with locations in Freising and Dresden, are leaders in research and development across our business areas: food, packaging
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
20.02.2025, Wissenschaftliches Personal Synthetic Biology and Molecular Imaging project on generating “GFP for Electron Microscopy” via genetic- and protein-engineering of EM-visible nanostructures