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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents
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Generative Engine Optimization (GEO) is an emerging practice that aims to increase a brand’s visibility in content generated by AI models – much like SEO does for traditional search. As AI-powered “answer
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, statistical physics, multiscale modeling, and uncertainty quantification. The Multiscale Modeling of Fluid Materials group at the Technical University of Munich is looking for talented and ambitious scientists
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-Checking, Argument Mining, Automated Planning, and Decision-Making. Training, domain adaptation, and evaluation of cutting-edge LLMs and Multi-Modal models in the cloud and on premise. Software Engineering
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and physiological function of specific transport proteins in heterologous expression systems in crops and (trans-genic) model plants. • A unique set of Arabidopsis and barley transporter “mutants
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. Recent work of our group includes: o Robustness of neural networks (https://proceedings.mlr.press/v162/schwinn22a.html) o Novel threat models in LLMs (https://arxiv.org/pdf/2402.09063) o Efficient
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will be part of the Collaborative Research Center Transregio 277 Additive Manufacturing in Construction (AMC) in the new project B06: Material Modelling and Simulation of Deposition AM Processes
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emphasis is placed on building information modelling, point cloud capturing and processing as well as knowledge representation and inference. In the research project AI-CHECK, new technologies for checking
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methods (such as Machine Learning, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we
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investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be