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of Surgery and Medicine ; plans, designs and executes experiments of considerable scope and complexity in the areas of adipocyte biology, inflammation and immunometabolism; collects and analyzes data
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Cancer Center; plans, designs and executes experiments of considerable scope and complexity targeting the interception of thoracic malignancies; collects and analyzes data for research sponsored by
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histology, immunohistochemistry, in situ hybridization, organoid/tissue explant cultures, and live imaging. Analyze complex data, including bulk, single-cell, and spatial transcriptomics datasets. Present
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complex chemistry, molecular metal compounds, homogeneous metal catalysis, organic synthesis, mechanochemistry of metals, as well as experience in analytical techniques including NMR, PXRD, HRMS and ICP-MS
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; familiarity with time series analysis and complex survey design and weighting is preferred. Experience in epidemiological data analysis of large datasets using R and/or STATA is highly preferred, competency in
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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools
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of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
landscape and cross-basin scales. Understanding these complex ecosystem dynamics requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous
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volume and complexity of genomics projects. This position offers the opportunity to collaborate closely with both wet-lab and computational scientists, coordinate client-focused research projects
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development of clinical risk prediction tools. You should be confident working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS, and have a strong