44 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of Washington
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coarse- grained models of proteins within condensates). These topics share deep conceptual parallels. By advancing concepts in non-equilibrium statistical physics, the group aims to uncover the general
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other disease models that are valuable in studying the etiology and treatment for these devastating diseases. We combine in vivo, ex vivo, and in vitro methods to study the pathogenic mechanisms in a
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, the candidate will have the opportunity to engage in research using advanced immunologic techniques, including mouse and xenograft models, transgene delivery and/or gene editing, immunologic assays, and single
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(PET), functional MRI (fMRI), and electroencephalography (EEG), using advanced quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work
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EV in vivo tracking studies, spatial transcriptomics, imaging mass-cytometry, micro-CT imaging and experimental fetal lung models to address key questions in lung development and repair. This position
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milieu of host cells (T cell subsets, etc.) responsible for responding to this organism, both in acute and adaptive models of infection. Additionally, we are dissecting mechanisms of infection, including
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biology, animal modeling, genomics and bioinformatics. Any subset of these skills are ideal as there are multiple different projects that can fit the candidates prior research experience and interest
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. Individuals who join this lab will gain skills in advanced microscopy, cutting-edge genomics techniques, genome editing, patient-derived cancer models, and transgenic mouse development in a highly collaborative
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Position Summary Research is aimed at understanding the pathogenesis of blood cancers, with a focus on myeloproliferative neoplasms. Experimental approaches involve mouse modeling, in vitro work in
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(passive and active devices) design and fabrication. Experience with on-chip laser development. Experience with ophthalmic OCT imaging in human and animal models. Experience with FPGA, embedded systems, and