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-house CFD software packages. (3) Designing and developing CFD sub-models for application to a broad range of CFD problems. (4) Using high-performance computing (HPC) to accelerate complex, large-scale
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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, with frequent travel to campus, may be available. We are recruiting multiple postdocs to join our team in this role. Responsibilities and Duties: Develop and implement complex data analysis projects
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candidate must excel in critical thinking and be adept at designing and executing complex research studies. While data analysis skills are beneficial, they will work closely with data analysts and
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management. Requisite skills include DNA extractions (ideally from noninvasive sources), PCR, sequencing and basic statistical modeling (e.g., simple regression). Desired skills include qPCR, ddPCR, and/or
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics
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could include topics related to ice and volatiles, planetary thermophysics, surface and subsurface characterization, radar remote sensing, and/or the integration of spacecraft data with modeling. You can