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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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expertise in employing synthetic microbial communities, gnotobiotic mouse infection models as well as in molecular microbiology of gut microbiota and enteric pathogens. The TUM School of Life Sciences
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
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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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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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with you on board! We are seeking a highly motivated PhD student to join our research team studying the role of NMDA receptors in psychosis, using translational mouse models of anti-NMDA receptor
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://github.com/FZJ-IEK3-VSA/RESKit ). This framework currently uses historical weather data to model energy output and will be further developed to allow the simulation of renewable electricity production under
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isotope ratio mass spectrometry (IRMS) and gas chromatography coupled with mass spectroscopy (GC-MS), as well as other spectrometric methods Experimental and modelling analysis of relevant processes in
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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