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, Foundation Models & Medical AI Location Munich, Germany For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and
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-generation multimodal foundation models for digital patient twins in oncology and cardiovascular medicine. The position is part of the EU Horizon Europe project TWIN-X, Digital Twins with Generative AI
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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science, nutrition and health. The project combines food pro-cessing, analytical chemistry, (in vitro) digestion models and human intervention studies to better understand how processing-induced changes in
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the relationship between whole-tree water use and wood cell formation in trees, using advanced growth models to predict the future of wood formation and carbon allocation in forests facing drier conditions. Within
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for a motivated PhD candidate, working in an industry-funded project, focused on exposing in vitro lung models to indoor air. The aim is to establish a co-culture-based lung model for exposing to indoor
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concrete. About us Digital Structures with Mineral Materials is a new professorship at the TU Munich, focusing on the de-velopment of structural engineering, design, analysis and modelling methods
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vacuum conditions. Your tasks include: • Design and manufacturing of propulsion prototypes • Experimental testing and diagnostics • Modelling and performance analysis • Development of propellant-control
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across the world. We are looking for motivated researchers to join the HDSC/MDSI Tandem Project "Data science at scale: Training neural models with mixed precision solvers." This is a joint project