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team. Perform spatial integration (alignment, upscaling/downscaling) for comparative analyses. Assess the distribution of modeled exposures and health impacts across population subgroups. Contribute
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) and the Universität Hamburg (UHH). Why Join IMPRS-ESM? Interdisciplinary focus: We address the processes and dynamics of the Earth system at different temporal and spatial scales to improve predictive
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for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial information, applying hydrological models to simulate extreme floods
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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phenotype. Areas of interest include, but are not limited to, technology development; functional genomics and variant effect research; animal, organoid and stem cell models of disease; single-cell and spatial
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of biophysics, non-equilibrium statistical physics, and cancer biology. Its objective is to understand how stochastic fluctuations and cell-cell interactions combine to drive the spontaneous emergence
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., de novo genome assembly, pangenomes and comparative genomics, single cell/nucleus RNA-seq/ATAC-seq, spatial transcriptomics, etc.). Leverage current computational biology benchmarks to build compelling
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candidates able to conceptualize and statistically or mathematically link processes occurring at different spatial or temporal scales, or across levels of ecological organization (e.g., upscaling of microbial
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be on a joint project that leverages Earth Observations and large administrative datasets to estimate spatially explicit monetary values of ecosystem services. Essential Job Duties Trains and evaluates
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time of employment, and the degree may be in sociology, psychology, political science, or related areas. Demonstrated knowledge of statistics and research experience of social surveys of an East Asian