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Description The Department of Mathematics (www.math.ethz.ch) at ETH Zurich invites applications for the above-mentioned position at the Seminar for Statistics (www.math.ethz.ch/sfs). Candidates should
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statistical analysis plans Develop statistical code for harmonized data analyses across countries Coordinate site-specific analyses and combine results using meta-analytic methods Draft manuscripts
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Your position We are seeking a highly motivated postdoctoral researcher to join our interdisciplinary team. You will develop and apply advanced statistical and causal inference methods
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models, or AI weather models or in using process-based or statistical analysis of model results and reanalyses The applicant is expected to contribute to NCCR CLIM+ and to take leadership in the research
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using multivariate statistical methods, results that will be compared with other, independent temperature reconstructions, high-resolution palaeobotanical records, and vegetation modelling scenarios
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first-in-human through proof-of-concept studies. As trusted partners in early development, we design efficient and innovative clinical trials, apply rigorous statistical methods, and implement high
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include: Analyzing and integrating longitudinal multi-omics data from pediatric cohorts Developing and parameterizing mechanistic mathematical models Applying statistical modeling, causal inference, and
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of statistical seismology and machine learning. This position is part of two EU-funded projects: GeoTwins , which focuses on creating digital twins for geothermal systems, and Earth-AID, which aims to develop
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models, and unsupervised learning to identify high-order structure in neural and molecular data. • Conduct statistical modeling of temporal trajectories and population dynamics across thousands of neurons
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traits such as canopy height, canopy cover, tillering, reflectance, senescence or growth dynamics from this data Performing statistical analyses, including AI-based approaches Presentation of results