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and interpretation of large-scale datasets, in particular next generation sequencing (NGS) data. The team covers raw data processing, high-performance computing, statistical evaluation, interpretation
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simulation programs, big data analyses, or qualitative analyses. N.B. it is not expected/desired that you have experience with all of these methods/programs, but familiarity with some are desired. Good
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primary focus for this group would be computational morphometry of human model systems. Applications for other areas of computational biology, such as integration of multi-modal, large-scale data sets and
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. Empa is a research institution of the ETH Domain. Stabilizing our climate requires to urgently phase out fossil fuels and clean up the atmosphere from excess CO2, which will induce a large demand for
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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the framework of a large National Competence Center of Research (NCCR) “Antiresist” (for more information, view ) involving clinicians, academic and industrial research partners across multiple disciplines, a
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. 2017. Where does the money go? Economic flow analysis of construction projects. Building Research and Information. DOI: 10.1080/09613218.2017.1294419 Meglin R., Habert G., Kytzia S. 2021. Regional
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these subjects) is a must. Exprience with large-scale computations and data handling is required. Some bakground in nonlinear dynamical systems is also expected. The candidate must have excellent communication
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80%-100%, Zurich, fixed-term Our research group on Law, Economics and Data Science at the Center for Law & Economics is looking for a highly motivated Data Science Research Assistant to develop and
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with additional biophysical features Apply the framework to morphogenetic problems based on imaging data Run large-scale simulations on ETH Zurich’s high-performance computing (HPC) infrastructure