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probabilistic and physically informed approaches for seismic hazard assessment. The successful candidate will contribute to the next generation of seismicity and hazard models that integrate statistical and
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. This project will involve applying and evaluating statistical and machine learning models for data integration and interpretation. A strong foundation in statistical modeling will be essential for applications
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STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
disease. This is complemented by training in the execution of statistically rigorous, hypothesis-driven research that probes the mechanistic basis of hematologic disease, uncovers new therapeutic targets
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of collaboration partners. Your profile: Completed studies in Data Science, Statistics, Applied Mathematics, Health Sciences with a quantitative focus, or a comparable qualification with a relevant doctorate
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epidemiology, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. This program
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(plus significant work experience in the field can also qualify) Understanding of hydrological processes Experience in statistics and data-driven modelling (e.g., machine learning), experience in working
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seminars focused on health policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. Based on interests identified at the time of application