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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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to act first and evaluate much later. This PhD project closes this gap by: integrating the porous-media solver of DuMux, the IWS-developed simulator, with its new shallow-water module recently created in
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-management and conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research
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Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025. The position entails 75% of the full-time
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detailed structural, magnetic and spectroscopic characterization, in particular using electron paramagnetic resonance (EPR). The project will be in collaboration with a team in the physics department
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Description In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (Salary group E13 TV-L, part-time 65
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availability of resources, a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025
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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