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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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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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of biology and data science. if you can work independently and transparently manage and communicate data science projects. We offer you: a world-class research environment with state-of-the-art omics, high
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Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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dynamics inherent in hydrological systems, offering a promising direction for integrating machine learning with physical modeling. The potential of neural ODE models in hydrology has been discussed in [3
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students on the campus, offering the chance to engage and connect - our PhD Representatives offer information and advice when needed access to high-performance computing a chance to contribute meaningfully
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biology and great enthusiasm for the bone marrow niche and therapy-resistance mechanisms. The PhD student will work in close collaboration with other CRC/SFB members and groups and will perform multiomics
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cancer cell plasticity in AML. Our overall goal is to pave the way for new cancer therapies. The aim of this PhD position is to perform and to functionally and molecularly characterize multiomics single
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understanding of how genomic architectures drive soil carbon sequestration and will highlight microbial biodiversity suited to specific soils and climates, paving the way for more sustainable soil management