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the interaction and co-evolution between bacteria and a family of large bacterial viruses, called jumbophages. We are particularly interested in how bacteria use immune systems to antagonize jumbophage infection
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to solve fundamental questions surrounding evolution and interaction between bacteria and bacteriophages. The Biozentrum provides a highly stimulating collaborative research environment with a
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biophysical approaches to characterize protein function and interaction. By applying these techniques, we seek to uncover how PGC-1α integrates signals to regulate transcription, providing fundamental insights
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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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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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-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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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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its own signal transduction pathways. You will be working in a dynamic team of researchers with broad expertise in molecular biology, microbiology and infection biology and you will be interacting with
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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