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hydrological modelling methods that explicitly use interpolation to pre-process precipitation data. In addition, the research should explore the integration of opportunistic sensor data to improve forecast
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/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements: university degree in chemistry or physics and
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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, K. M. (2025). Quantum-Centric Alchemical Free Energy Calculations. 1–35. http://arxiv.org/abs/2506.20825 [3] mimic-project.com Your Profile: University degree (master’s) in physics, chemistry
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)). Intriguingly, many of these conditions are also associated with R-loop accumulation, raising the possibility that Polθ may play a direct role in repairing R-loop-induced damage. This study, conducted in
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under water stress. 3. Validate findings under field conditions. Our goal is to create a framework to optimize plant-mycorrhizal partnerships, enabling more efficient, resilient, and sustainable P
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gravel pores and reducing oxygen supply to benthic habitats. These measurements explain the problem, but they cannot forecast future conditions or test management scenarios. Planners are therefore forced
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. Enhancers, DNA elements with binding sites for transcription factors, play a key role in this process. Recently, it has become clear that enhancer activity requires the formation of sub-micrometer-sized
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encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School