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to preventive interventions, decision support to implement mental health interventions, longitudinal data analysis, machine learning/NLP/AI, integrative data analysis, and related grant writing. This candidate
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metabolism in immune cells and applies these concepts to autoimmune diseases, inflammation, and cancer. More information about the Voss Lab can be found at: https://wzs4ya.wixsite.com/voss-lab . The focus
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will investigate the epigenetic regulation of HSV latency and reactivation. Multiple projects are available, based on strong preliminary data, and are funded by NIH grants. The projects will inform
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supporting evidence of completion date. Preferred Qualifications: Neuroimaging expertise, ideally with: EEG, fNIRS (including data collection and analysis) Young children Behavioral testing (including eye
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scientist with a strong background in single-cell genomic data biology and analysis to contribute to this important work. The successful candidate will work on uncovering pathways that drive susceptibility
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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, experience with or interest in modern techniques in high-dimensional data analysis such as mass cytometry, spectral flow, and RNAseq is strongly preferred. The position will remain open until filled. This is