99 phd-in-mathematical-modelling-population Postdoctoral positions at University of Washington
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, Fisheries Science, Biology, Zoology, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong
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the following fields is required: mathematical or computational biology, mathematical/statistical modeling, optimization, pharmacokinetics/pharmacodynamics (PK/PD) modeling, pharmacology, or related
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. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer’s Disease and the effects of anti-amyloid therapies on disease progression. The models are informed by a
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, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong quantitative skills Proficiency with statistics
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bending and trafficking. We utilize a blend of mathematical modeling, genome-editing in human stem cells, and fluorescence microscopy. Our projects aim to elucidate the emergent architectures and modes
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measurement. Additional duties involve microbial population analysis (16sRNA), chemistry analysis (N, P, metals), and statistical modeling. The role also entails lab management, including cleaning and safety
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard
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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
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progenitor populations to modulate lineage output for therapeutic purpose in diseases and aging context. This project will involve primary mouse and human stem cell sorting, multi-color flow cytometry, mouse
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, weak interactions, symmetry violations, physics beyond the Standard Model, baryogenesis mechanisms, relativistic heavy ion physics, high energy nuclear physics. The Institute hosts approximately 450