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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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-time data acquisition during production, consulting, and prototype manufacturing. We aim to eliminate distortion due to residual stresses during the milling and turning processes using simulations. We
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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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: Practical experience in cultivating microorganisms Practical experience in microbiological and/or process engineering methods Very good command of English, both written and spoken Additional skills and
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engineering, the automotive industry and related sectors. The focus is on intelligent products, production systems, services and software applications. What you will do Given the barriers to traditional
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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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the visible into the hyperspectral domain. What you will do Initially, you will dive deeper into the field of hyperspectral imaging and get to know an existing hyperspectral camera and its output data structure
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, are all essential advancements to enable a wider and more secure deployment of the technology. Most biometric systems are based on image analyses. Therefore, exciting challenges in the computer vision
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. We are creative, we shape technology, we design products, we improve processes, we open up new paths. The Fraunhofer ITWM is one of currently 75 institutes of the Fraunhofer-Gesellschaft zur Förderung
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At the Fraunhofer Institute of Optronics, Systemtechnology and Image Exploitation IOSB we perform fundamental and applied research in the fields of laser technology, photonics, imaging sensor