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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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information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image processing
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analysis, simulation, chemometrics, control engineering, artificial intelligence, soft sensors, and process sensors. We are always looking for new technologies and new methods to monitor and optimize
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into an interdisciplinary research environment given by the university institutes and the cooperation partners in industry and science. The advanced Manufacturing Engineering paradigm for next generation factories is
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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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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