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Chair of Biological Imaging 27.02.2026, Academic staff We are now seeking a highly qualified and motivated Ph.D. student (f/m/x) to drive the development of novel optical technologies addressing
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computational simulations to understand the combustion of solid propellants across different scales. You will further develop an existing simulation code based on the discontinuous Galerkin method. In doing so
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computational simulations to understand the combustion of solid propellants across different scales. You will further develop an existing simulation code based on the discontinuous Galerkin method. In doing so
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validate and further develop our models. The focus of this project lies on combustion kinetics. The objective is to develop a mesoscale description of solid propellant combustion based on global chemical
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of machine learning for engineering applications to start as soon as possible. Be part of change Developing and benchmarking Neural Network architectures (Graph Neural Networks, Transformers, etc
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of future immersive learning opportunities. Your tasks Technical development and implementation of a VR-based learning environment Integration of AI-driven learning modules Creation of industry-specific
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ranges from biostatistical consulting and statistical analysis of biomedical data to the development of complex methods for specific scientific questions. The application of new techniques in the rapidly
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AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and trustworthy AI-based analysis and classification of audio and video data. These technologies
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The Fraunhofer Institute for Secure Information Technology SIT is one of the leading research and development institutions for cyber security in Germany and Europe and is part of ATHENE
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(MEDAL) is an international initiative funded by the foundation Carl-Zeiss-Stiftung that seeks to realign medical AI development with real-world clinical needs. The project aims to establish a globally