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demonstrating how an existing anti-biofilm compound binds to and activates its specific target in Pseudomonas aeruginosa, we will design, develop and test novel anti-biofilm compounds with broader activity
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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cancer; see https://data.snf.ch/grants/grant/189065 Design, development and implementation of multi-step synthesis to access small heterocyclic molecules. Improve biological activity of hit compounds
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pathogens such as viruses, bacteria, and fungal spores. Current approaches are slow and labor-intensive, often relying on culture-based analysis that requires several days. This project aims to further design
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to further design, build and validate a compact, automated instrument capable of quantifying specific pathogens in air in near real-time. Biological particles will be collected from a continuous air flow
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-collection costs while maintaining validity for marketing and opinion research. Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented
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activates its specific target in Pseudomonas aeruginosa, we will design, develop and test novel anti-biofilm compounds with broader activity against the WHO priority pathogens Escherichia coli, Klebsiella