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Field
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of manufacturing processes Experience modeling AM microstructure evolution, phase transformations, or defect generation Experience with multi-scale modeling across spatial and temporal domains, including residual
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drugs. Our focus is on cytokine-based drugs and immune checkpoint inhibitors. We use immune competent murine models and human cell culture systems for early drug development. We also study mechanisms
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
, with the capability to measure air pollutant and carbon cycle-relevant gases at good spatial resolution and now (with GEO satellites) better temporal resolution than has historically been possible from
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circuits, neuronal tracing, viral or genetic manipulation of neurons, in vivo models, imaging, or computational analysis of single-cell or spatial datasets. Candidates from neuroscience and neuro-immunology
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are uncertain, and decisions about where to survey unfold sequentially under significant time and cost constraints. Existing predictive models provide useful but incomplete support because they cannot fully
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utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA
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). Experience in transgenic animal models and/or in vivo interventions and disease models. Desirable Criteria: Experience with emerging technologies e.g. ‘omics and advanced informatics, spatial transcriptomics
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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. Existing predictive models provide useful but incomplete support because they cannot fully capture the complexity and heterogeneity of archaeological data. This underscores the need for approaches
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at scale. By integrating AI-drive image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models