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Field
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, Specfem3D). Integrate diverse seismic datasets from AlpArray, AdriaArray, ANTICS, and C2S-RLN. Analyze the resulting models in the context of tectonics, geodynamics, and seismic hazard. Collaborate with
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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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the resilience of drinking water supplies in the affected region for the future, based on laboratory analyses, field investigations and numerical modelling. Tasks: We are looking for a highly motivated researcher
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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 a single cell level. This includes single-cell RNAseq datasets and analysis tools, large high-dimensional flow cytometry phenotyping panels and a collection of transgenic mouse models specifically
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in a quantum microscope. Your tasks Planning and execution of optically-detected magnetic resonance experiments with diamond Analysis and modelling of the experimental data Carrying out literature
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research and start a career as a postdoc at our institute. We offer female scientists the opportunity to participate in our TALENTA program: a comprehensive career and development program that includes
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experiments utilizing state-of-the-art approaches such as: Animal models of metabolic diseases and atherosclerosis Flow cytometric analysis of immune cell populations from murine tissues using full spectrum
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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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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
processing and will involve EEG and MRI experiments as well as realistic modeling of biological neural networks. It is a cooperation between the TU Berlin, the TU Chemnitz, the Czech Academy of Sciences, and