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Field
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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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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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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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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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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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. Santiago Botía with close collaboration with Dr. Christoph Gerbig of the Atmosphere-biosphere Signal Attribution (BSAT) and Atmospheric measurements and mesoscale modeling (ATM) groups at the Max-Planck
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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approaches across a range of model organisms to understand how and why we age. As a PhD candidate at FLI, you’ll be part of an international and interdisciplinary environment where basic science meets
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-prey contacts to understand decision making underlaying aggressive predatory biting. Using data-driven modelling, you will compare these dynamics to investigate prey choice and reward signalling. Your