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of the “Landscape Archaeology and Architecture” doctoral program of the BerGSAS, https://www.berliner-antike-kolleg.org/en/bergsas/index.html We welcome applications from highly qualified graduates from the fields
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and developing dependable automated driving systems based on software and systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer
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10 Oct 2025 Job Information Organisation/Company CISPA Helmholtz Center for Information Security Research Field Computer science Mathematics Researcher Profile First Stage Researcher (R1) Positions
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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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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 10 hours ago
Transformation Processes. The programme is affiliated to the Faculty of Architecture, Civil Engineering and Urban Planning. Doctoral students conduct individual research in the fields of heritage conservation and
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programme culminating in either a PhD or a German Dr rer nat degree. Biomedicine The biomedicine section is involved in the study of physiological and pathophysiological processes. Research efforts focus
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their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Create design documentation in
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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