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Field
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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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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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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
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assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ and how alloimmunity is suppressed in patients receiving donor
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molecular pathology — immunohistochemistry, whole-slide imaging, tissue-microarray design, digital and computational pathology, or spatial molecular profiling — with applicability across multiple tissue types
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ability to engage with both quantitative and qualitative analysis of data (e.g., household surveys, spatial data, interviews, and ecological data), including statistical methods to account for trade-offs
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manuscripts for peer-reviewed publications Analyze complex datasets across spatial and temporal scales using advanced statistical and data science approaches Present research findings in group meetings
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, experiments, documentation and statistical analysis of results; interpretation, discussion and presentation of results Computational analyses of high dimensional data, including flow cytometry, scRNAseq and
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
biology as a high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and