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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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for Surface Chemistry and In Situ/Operando Spectroscopy, led by Prof. Christian Hess, is a multidisciplinary research group that works on understanding the mode of operation of catalysts, gas sensors and
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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command of English We offer: An interdisciplinary working environment that encourages independence and self-reliance A collegial and open-minded working atmosphere in a dynamic research institution
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(German language command is helpful but not mandatory) LanguagesENGLISHLevelGood Additional Information Eligibility criteria The applicant must not be in the possession of a doctoral degree or have entered a PhD
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and under the impact of the food supply chain, including food processing. In this context, the aim of the PhD project is to investigate the influence of drought stress on sulphur-containing plant
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practices. Within this framework you will: extend and use a process-based modeling approach which explicitly represents microorganisms and biomolecule functioning in soil systems. use process-based modeling
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conditions and under the impact of the food supply chain, including food processing. In this context, the aim of the PhD project is to investigate the influence of drought stress on sulphur-containing plant