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. Organizational Status Reports to the Principal Investigator. Work Performed Conducting fMRI data preprocessing and analysis, the work is routine in nature or performed according to established protocols Creating a
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. Primary processing of single cell and spatial transcriptomics data, and more project-focused in-depth analysis. Integrate existing single cell and spatial transcriptomics datasets, use publicly available
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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better
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the EarthCARE Cloud Profiling Radar (CPR) Doppler velocity observations. Lead the development of data products for convective systems for the upcoming WIVERN mission, employing a combination of forward and
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and observational measures of cognitive and emotional regulation (CER) for team settings that draw on rich multimodal data. (2) Develop a unified set of best practices for collecting and analyzing
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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation
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analysis of PFAS. This task notably involves cutting-edge work on data processing. Simultaneously deploy targeted analysis quantification and non-targeted identification of PFAS in samples obtained from
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in live or fixed organisms, cells or tissues - Experience with data analysis in Python, R or similar - Experience working with animal models AND - Experience with mass spectrometry, including sample
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transgenic mice to manipulate specific molecular pathways. For more information, please see Gengatharan et al., Cell, 2021 (PMID: 33482084) Marymonchyk, Rodriguez-Aller et al., Cell Stem Cell, 2025 (PMID
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: Analyze fMRI data to investigate brain activity and connectivity. Model brain functional connectivity using static and dynamic approaches. Utilize Dynamic Causal Modeling (DCM) to study brain network