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to model and analyse the intrinsic complexities of these systems. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains
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histological validation within murine cancer models. We offer an association with the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ-specific inflammation” graduate school
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xenograft (PDX) models. To this end, the candidate will have direct access to cutting-edge mass spectrometry and advanced bioinformatics infrastructure. The project is part of the collaborative research
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of molecular, cellular and organ biology. Research is at the core of this doctoral programme. The thesis research will be carried out under the direct supervision of one member of the IMPRS faculty. Our IMPRS
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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
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of Munich, Cologne and Hanover as well as the German Weather Service in Offenbach and Lindenberg. The partners combine leading expertise in modeling and observing clouds and their radiative properties with
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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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sites will not be located directly at the source of emissions, which will require transport infrastructure. As part of this work, you will model spatially resolved transformation paths for the energy
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application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
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aims to combine state-of-the-art techniques in experimental sciences and computational life sciences. Over the last decade, the molecular life sciences have undergone a major development. Currently, the