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                Field
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                suitable for part-time employment. Starting date: 17.10.2025 Job description: Design, develop and apply an flexible and integrative multiscale FWI using GPU-accelerated spectral-element simulations (Salvus 
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                advance the scientific knowledge of the mesosphere and lower thermosphere by developing and exploiting expertise in atmospheric physics, instrumentation, analysis and modelling to serve emerging societal 
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                order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism 
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                the formation of double-strand breaks, copy-number alterations, and other structural genome changes. Our group combines cutting-edge genome biology approaches with quantitative, multi-omics analyses to uncover 
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                research revolves around the following key objectives: Finding analytic expressions for families of numerical Hamiltonians that model magnetic topological semimetals. Classifying such Hamiltonians in terms 
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                evaluation of efficient training and reconstruction pipelines involving deep learning models Find required initial conditions for LWFA simulations which yield the reconstructed observed electron buch shapes 
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                and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research 
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                on optical transmission through falling snow and the models we have are inaccurate. By conducting experiments in Arctic weather over a longer period of time, at different geographic locations, we hope to build 
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                Infrastructure? No Offer Description Work group: PGI-12 - Quantum Computing Analytics Area of research: PHD Thesis Job description: Your Job: Research: employ on quantum field theory in curved spacetime to model 
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                . Excellent command of spoken and written English. Additional qualifications Experience with modelling, simulation, and optimization of energy systems. Experience in thermodynamic analysis, particularly