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Your Job: In this position, you will be an active part of our ESDE research group and the HClimRep consortium. You will contribute to the development of the HClimRep foundation model for climate
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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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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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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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, software developers and domain scientists on, e.g., Development and adaption of existing data mining and machine learning models Design and implementation of machine learning algorithm for extracting