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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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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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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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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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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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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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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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: 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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). 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