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applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling, ecology and biodiversity
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vitro disease models, and multiscale analysis platforms integrating experiment and (AI/ML-powered) computational modeling to uncover causality at the molecular level and system-level dysfunction
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an outstanding research profile in applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling
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underpinnings of chronic pain and the dynamics of host-microbiome interactions in health and disease. Methodologically, we combine molecular biology, biochemistry, pharmacology, preclinical mouse models and the
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full professors, one associate professor, several postdocs and about 10 PhD and master students. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a
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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data’ as Data Manager. Work alongside leading experts at the Computational Imaging Research Lab (CIR ) and the Department
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to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You have previous
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and
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) Solid knowledge and some experience in statistical modeling High interest in working in an interdisciplinary research field Experience in academic writing and with research methods First experiences in
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programme of high-quality empirical research commensurate with the level needed for a PhD qualification, which advances the field of Environmental Psychology • Publish (or submit for publication) at least