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institution's IT and other campus departments as well as vendor teams. Data Analysis, Reporting, and AI Support: - Contribute to the development of data models, ETL packages, and business intelligence reports
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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calculations, systems models, and maintenance plans. Define and maintain spare parts inventory. Oversee operator training, operations and troubleshooting in support of experimental plasma research. Lead or
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research, and follow developments in the fast-changing field of AI, including but not limited to, familiarity and technical understanding of AI models and their uses and developments. This is a full-time
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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Seeking a temporary Research Associate in machine learning. Pursue research in machine learning. Work on new forms of diffusion-based generative models. Meet with postdocs Participate in group
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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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investments. Develop financial models to evaluate alternative tax entity structures. Engage with legal counsel and/or tax advisors on regulatory issues when appropriate. Identify and leverage digital solutions
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: - Contribute to the development of data models, ETL packages, and business intelligence reports to support organizational initiatives and enable data-driven decision-making. - Actively participate in
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researchers working on an NIH funded project focused on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to