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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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master’s degree or diploma in physics, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent
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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