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focus on transport modeling, network design, and data analytics in collaboration with other CRC members (fellow students and supervising professors); implementation of the planned research program
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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the REACT Doctoral Network. In this context, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and
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available in the further tabs (e.g. “Application requirements”). Programme Description The Cusanuswerk offers fellowships to particularly gifted students and doctoral candidates of catholic faith from all
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well as related subjects (DAAD) Intensive German language course (including accommodation and pocket money) for up to 6 months. Exception for scholarship holders according to Model 3b) an 4b), who do not take a
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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the technical and social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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). The content of their studies are closely related to the research areas of SECAI. This includes but is not limited to studies in the following programmes: - MSc Computational Modeling and Simulation (TUD) in