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microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
builds up a national and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is
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storage is an advantage. Ability to work independently with intrinsic motivation and initiative in a team. Joy and expertise in complex challenges in reaction engineering and thermodynamics. Competence in
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members and with other faculty at MPIM, such as Number Theory (Blomer, Harder, Moree), Arithmetic Geometry (Faltings), Modular Forms (Zagier), Teichmueller Theory (Hamenstaedt), Complex Algebraic Geometry
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complex flow system with a focus on its interaction with wind turbines, providing essential insights to meet the global demand for renewable energy. We employ a multidisciplinary approach that includes free
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Mathematical Sciences at the University of Göttingen as well as the associated research training groups "Fourier Analysis and Spectral Theory" and "Discovering structure in complex data: Statistics meets
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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in