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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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widely used chemotherapeutic agents, yet how cells detect, repair, and signal this damage remains poorly understood. This project will focus specifically on RNA–protein crosslinks—complex lesions that can
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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, tumor biology, and molecular biology. Our research aims to develop creative and innovative strategies to characterize new classes of molecular imaging agents and advance those with translational potential
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at obtaining further academic qualification (usually PhD). Research area: Systems of interacting particles are ubiquitous in natural and social sciences. Typically, they comprise many agents that, through intra
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to potential reusers via suitable logistics chains. This includes the integration of individual stakeholder requirements and their representation by digital agents for the intelligent linking of logistics orders