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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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applications of data science and artificial intelligence. In addition, service-oriented solutions are developed and there is close cooperation with a large number of partner organizations from science and
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Description The Molecular Nanophotonics Group at the Faculty of Physics and Earth System Sciences at Leipzig University is currently offering a doctoral researcher position under the supervision
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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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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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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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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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(0)511 762 3623 E-Mail: peth at ifbk.uni-hannover.de Web: https://www.iesw.uni-hannover.de/en/research/main-research-areas/soil-science Legal notice: The information on this website is provided
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(0)511 762 3623 E-Mail: peth at ifbk.uni-hannover.de Web: https://www.iesw.uni-hannover.de/en/research/main-research-areas/soil-science Legal notice: The information on this website is provided
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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