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well as LiDAR measurements, into ensemble agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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partners as well as our partners from ICRISAT, India. Your tasks in detail: Extend the existing process-based model to allow the simultaneous simulation of 3D root architecture development, release of
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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and simulation modeling. A quantitative understanding of ecosystem dynamics provides the foundation for the development of robust management concepts for the sustainable provisioning of diverse
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the implications for forest ecosystem service supply. The main methodological approach applied will be forest landscape simulation modelling using the model iLand. The work is embedded in the BETA-FOR project (https
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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physics or theoretical chemistry, with interest in electronic-structure theory and method development. Experience in computer simulations and programming is advantageous. Very good communication and writing
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent