71 phd-in-mathematical-modelling-population Postdoctoral positions at University of Washington
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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environment. The new postdoctoral fellow will join a large team, currently twenty members, which is led by three faculty members and three senior scientists. The candidate will hold a PhD in Statistics
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/splicing, as well as the development of enhancer activity lineage-tracing approaches in stem cell and/or mouse models. We are particularly interested in candidates with expertise in transcriptional
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these in enteroid and multi-cell type human cell culture models in microaerophilic conditions to mimic the human small intestinal environment The candidate will have an opportunity to contribute to one
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weather events. This research involves the use of machine-learning weather models for sampling these extreme events conditioned on the climate state. This position is part of a larger team spread across
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Position Summary A Postdoctoral Research Associate position is now open in the Puram Lab (PI: Sidharth Puram, MD PhD) at WashU Medicine in St. Louis, Missouri, integrated into the Departments
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industry, healthcare systems large and small, colleagues from low- and middle-income countries (LMIC), paraprofessionals, and individuals invested in developing creative technologies to improve population
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data to identify proteomic signatures and develop novel predictive models for Alzheimer’s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis
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interdisciplinary lab group investigating tendon injury and healing. Current projects within the lab span from human subjects research to the study of ex vivo tissues and preclinical models. This position is
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data