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histological and multiomic analysis of MS brain tissue to elucidate cellular and molecular mechanisms underlying demyelination and neurodegeneration. The laboratory is embedded within a highly collaborative
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to mitigate infectious disease transmission through vaccination and other non-pharmacologic interventions. Primary work will be on data analysis of a multinational cohort to help describe and model within
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focused on HIV prevention. Key Responsibilities Data Analysis and Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL
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may include spatial multiplex immunofluorescence, single cell transcriptomics, high-throughput drug screening assays, CRISPR-based approaches, in vitro tumor models, and biomedical data analysis
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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, reproducible research practices, and collaborative scientific communication, with opportunities for publication co-authorship. Training: This role will entail supporting single cell genomics analysis for several
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control outcomes, and quantitative bias analysis. Lead the preparation of first-authored manuscripts for peer-reviewed publication, and of abstracts and presentations for national and international meetings
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for presentation at regional/national conferences with the goal of manuscript publication. Training: Postgraduates will develop skillsets in bulk and single-cell genomic analysis and the creation/maintenance
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the most common PET isotopes (11C, 15O, 13N, and 18F); and an imaging and data analysis section that oversees scanning procedures and optimizes data acquisition and analysis. The Yale University PET Center
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, and microscopy. The candidate will also gain independence in experimental design and data interpretation/analysis. Training: Candidates will receive training in laboratory skills including molecular