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data Clear scientific writing and communication; a track record of publications Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR
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detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening modalities The fellow will have opportunities to lead analyses within
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Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR/clinical trial data Additional Qualifications: With this appointment, you are
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at peer-reviewed venues and conferences. Example project areas Performance analysis and optimization of end-to-end scientific workflows, including those originating at DOE facilities. Operating persistent
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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characterization, and functional properties of milk proteins and peptides. Our primary research goal is to understand their impact on human health. Our current projects involve developing and optimizing methods
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record of or exceptional promise for research. The fellow will work with Prof. Sam Petti on developing methods for modeling, optimizing, and interpreting biological fitness landscapes. Successful
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-reviewed venues. Examples of NESAP project themes: Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment
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to UC’s success. Job Overview The P&G Digital Accelerator@UC is seeking a Postdoctoral Research Fellow in Biochemistry/Molecular Biology to help drive Product and Process innovation through the optimization
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of medicinal chemistry. The candidate will be responsible for designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (a4b2 nAChR