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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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Your position The project aims to develop novel anti-biofilm compounds that can be used to treat biofilm-related infections caused by a range of bacterial pathogens. Based on structural data
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holds a PhD in Biochemistry, Molecular Biology, Immunology or another relevant Life-Science degree. Expertise in immunology, allergy, FACS (analysis and cell sorting), and mouse models is required
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pneumoniae and Acinetobacter baumannii. You will be working in a trans-national research consortium including experts in structure-based modelling, structure biology and chemistry. PhD in Molecular Biology
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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce
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of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how
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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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-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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to work on a highly innovative project within a highly interdisciplinary environment Fixed contract (up to 2.5 years, with a potential extension based on additional funding) The salary is very competitive
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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