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designs in terms of their techno-economic characteristics an optimization model is to be developed in the institutes’ inhouse modelling framework FINE (https://github.com/FZJ-IEK3-VSA/FINE) in
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-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant designs in terms of their techno-economic characteristics an optimization model is to be
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hydrogen energy sector. Your Job: Conduct cutting-edge research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and
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methodologies for the characterization, modelling, and simulation of energy materials Contribute to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance
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research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and utilize frameworks like Django to support the automation
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H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics, chemistry, environmental sciences or a related field with good final grade (German system equivalent
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analysis of collected air samples with the GC-HID-ECD system Investigate the climate impact of the measured H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics