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the perspective of energy infrastructure. Using the existing energy system models of ICE-2, you will develop scenarios to analyze the effects on the German energy system and its robust design in a European context
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; willingness to experiment with new data collection and model methodology development; motivation to cooperate in a diverse and multidisciplinary research team; excellent communication skills. Being fluent in
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problems. The mission of this consortium is to realize a new revenue model in the textile value chain, by scaling up and strengthening the (business/government/NGO) activities around sorting and recycling
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and structural thinking Interest in analyzing water-energy interactions Enjoyment of modeling Fluent in written and spoken English, knowledge of German an advantage Our Offer: We work on the very latest
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consideration will be given to bioinformatic skills, prediction models and experience within the area of the PhD as outlined above. Due to the need of reviewing clinical records, you’ll need to be fluent in
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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activity, oxygen storage capacity), in collaboration with machine learning experts to build predictive models. Producing well-characterized nanoparticle batches for external testing and catalytic
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Modelling o Mobile Robotics • Prior experience with open field agricultural machinery is advantageous • Excellent language skills in written and spoken English and fluent in written and spoken German
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. A non-deterministic AI machine learning model for the identical task would not offer this demonstrability or, critically, the repeatability of classical algorithm-based systems. Furthermore, there is
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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ