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is seeking a full-time or shared Postdoctoral Research Fellow to play a leadership role in an exciting NIH-funded study investigating the effects of cannabis use among college-aged youth. This project
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, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis. Expertise in computational
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cognitive abilities, and how those developmental trajectories differ (and are similar) across contexts. Planned projects: The planned research will focus on analysis of data collected in a global multi-site
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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, particularly for low-income ratepayers. We seek a postdoctoral scholar with electricity system modeling and rate design experience and strong data analysis and management skills. A willingness to apply expertise
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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brain aging and cognitive decline Utilize advanced computational methods, including machine learning and AI, to analyze neuroimaging data (e.g., fMRI, EEG, or other modalities) Develop and apply models
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applied to large longitudinal data repositories of multimodal data (such as the Health and Retirement Study; HRS) to obtain detailed and accurate predictions of individual’s health trajectories through
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and analysis. Experience managing large datasets and executing data analysis in complex environments is highly valued. Required Application Materials: Application Instructions To apply, include
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omics data analysis. ●General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. ● Demonstrated ability to apply theoretical knowledge of science