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, groundwater flow simulation, and numerical model development Basic knowledge of numerical methods for solving nonlinear systems of partial differential equations (e.g., finite volume method, finite element
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of numerical methods for solving nonlinear systems of partial differential equations (e.g., finite volume method, finite element method) Experience with open-source CFD software such as OpenFOAM, PFLOTRAN
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interference (CRISPRi) libraries in ESKAPE pathogens to identify genes involved in immune evasion. Metabolomic and chemical characterization of bacterial mutants using LC-MS/MS, including analysis of surface
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physiology. Experience with molecular cloning, bacterial strain engineering or fermentation is a plus. Data analysis skills (e.g. Python, MATLAB) or experience with metabolomics and mass spectrometry are a
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experimental research is desirable, preferably complemented by strong quantitative analysis and enhanced AI skills. The successful candidate will work closely with Dr. Tim Fütterer, Prof. Dr. Ulrich Trautwein
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to integrate automation, real-time data analysis, and intelligent control strategies to advance how we cultivate microbes. If you are primarily driven by curiosity about microbial life or equally motivated