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and development in the field of software engineering for dependable and safe automated driving systems. Conception, design, and implementation of software architectures and prototypes in
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, CTR) Design and implement physics-informed deep neural network architectures which accelerate finding electron bunch shapes self-consistently for large measurement campaigns Implementation and
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applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
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01.10.2025, Wissenschaftliches Personal This PhD position is part of the interdisciplinary TUM GNI project AUROrA – AI-Driven Urban Flood Resilience: Integrating Earth Observation and Architectural
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algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
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The research group Genetics and Physiology of Root Development studies crop root anatomical and architectural traits. Research is mainly focused on cereals including barley, wheat, and maize. We
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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software
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architectures which leverage our increasing understanding of the behaviour of neural networks trained with DP to ameliorate these trade-offs in biomedical applications. - Foundations of private machine learning