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- Ludwig-Maximilians-Universität München •
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and
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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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independently and collaboratively Preferred Qualifications: Experience with multi-phase flow simulation, reactive-transport simulation, groundwater flow simulation, and model development Basic knowledge
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of satellite and ground‑based observations to characterize vertical coupling mechanisms and their temporal variability. The position also contributes to the planning of future satellite missions, with a focus on
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expect knowledge in microeconomics, macroeconomics, and econometrics at an advanced Master's level. Exceptions from this rule are possible in special circumstances. In these cases, any missing graduate
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individually to improve knowledge and methodological skills directly related to the PhD project 120 ECTS within the scope of the research project, including two study blocks in Munich and regular research
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of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception and cognition to mind and neurophilosophy biology to technical solutions Additional support is
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reasonably fluent in at least two of the three languages of the programme. If necessary, knowledge in the one remaining language can be acquired by attending courses during the first and second years
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, ethics, responsibility in science, and public outreach. Doctoral researchers at the LSM acquire state-of-the-art knowledge of biology and biochemistry and are given a profound overview of the current
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pertinent to the learning sciences good or excellent degree from previous studies very good knowledge of methodology and research skills very good skills in oral and written English research interest in