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in CHARGE, including diagnosis and treatment. Projects involve the use of stem cells and mouse models for functional studies. The goals of our research are to define roles for the chromodomain protein
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imaging assays Analyze and interpret experimental data related to cancer cell heterogeneity and signaling pathways Contribute to ongoing and future projects, including animal studies using mouse models
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that include but are not limited to cellular and animal models, multi-omics and biochemical assays. Ideal candidate is a dynamic and motivated self-starter ready to take a leading role in projects and contribute
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of mouse model, human cell cultures, and immune profiling. This work is based in part on the findings of a recent publication from the lab on the role of NETosis in the development of CRS. https
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conduct experiments using murine models, immunological assays (flow cytometry, IFA, ELISA), and molecular biology approaches (qPCR, transcriptomics, ChIP,) Analyze and interpret data, prepare manuscripts
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* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis
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along the translational research spectrum or on any level within the socio-ecological model (individual, family, community, or policy). Selection will be based on scholarly potential and compatibility
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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to, research focused on prescribing recommendations, effectiveness research on individual interventions, implementation studies that translate evidence-based interventions for preventing overdose, data modeling
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required