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Project The PhD project DC7 aims to develop and apply a coupled Agent-Based Model (ABM) and couple it to the Regional Flood Model (RFM) to evaluate the effect of adaptive behaviour of small and medium-sized
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experiments Previous experience with quantitative MRI, contrast agents, and cell tracking/labelling is beneficial High motivation for scientific work and willingness to contribute to an interdisciplinary team
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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of inflammation and cancer using shape- and size-tunable self assemblies (aza-BODIPYI) as contrast agents. This project is part of the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ
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reactive agents and biofilms, which are anticipated to play a key role in climate preparedness in water resource management. If you want to advance computational hydraulics while tackling an urgent
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cigarette smoke and UV radiation to chemotherapeutic cancer treatments, the cells in our bodies are constantly struck by exogenous agents that damage our DNA. The processes that evolved to repair and tolerate
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develop microbial biofactories that serve as platforms for the production of biopharmaceuticals, therapeutics, or novel agents for personalized medicine. In both of these research areas, we are each seeking
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the MATSim agent-based transport simulation framework. The main task is to enable simulated agents to choose transportation modes, such as car, bus, bike, or walking, based on real-time feedback from
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: From Mechanisms to Therapies”. In this CRC we aim to understand how plasticity i.e. non-genetic adaptations of the bone marrow niche induced by the disease or therapeutic agents contribute to drug
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RAICAM aims to train a cohort of 10 PhD students to work on the next generation of mobile robots for inspection and maintenance of industrial facilities. RAICAM will develop a multi-domain, multi-agent