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on the design and synthesis of novel antibacterial agents. The successful candidate will join an interdisciplinary team working to combat multi-resistant infections through innovative chemical strategies
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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tasks will involve formulating, estimating, and testing demand / choice models, implement them in a complex agent-based simulation framework and apply and calibrate them for the Greater Copenhagen Area
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