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a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international environment. For more information about the
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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environment. For more information about the Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering an interesting Collaborative Doctoral
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center, CRC 1719 ChemPrint “Next-generation printed semiconductors: Atomic-level engineering via molecular surface chemistry”. Your tasks Develop new approaches for electrodeposition of metals
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dynamics, data science, and machine learning are beneficial. Please submit your detailed application with the usual documents by August 15, 2025 (stamped arrival date of the university central mail
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biology, cell biology, biochemistry, and plant-microbe interaction research come together to advance sustainable agriculture and reduce reliance on pesticides and mineral fertilizers. Further information
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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partnership with the German Federal Waterways Engineering and Research Institute (BAW); building a fully coupled model that simulates surface hydraulics and subsurface flow with relevant turbulence models and
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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available on site for the development of suitable radiotracers. One focus of the work is on the use and evaluation of large tomographic data sets to derive parameter data for reactive transport modeling