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class analysis, GGM, longitudinal data analysis, multilevel analysis. Methods expertise in one or more of the following areas: Research-practice partnerships; conducting applied research in school
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recruitment and buy-in, CARE program implementation and fidelity of implementation monitoring, and data analysis and manuscript generation. This position will complete duties as follows: Recruiting: Reaching
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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management, and implementation/coaching supports. Methods expertise in one or more of the following areas: survey data analysis; data visualization; research-practice partnerships; conducting applied research
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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publications, conference presentations, and policy white papers Develop and implement data analysis pipelines for large-scale datasets Present research findings at conferences and professional meetings
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pathways by HSV-1 UL12.5 for reactivation from latent infection. Krakowiak PA et al Proc Natl Acad Sci U S A. 2025 Jan 28;122(4):e2413965122.doi: 10.1073/pnas.2413965122 . Single-genome analysis reveals a
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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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muscle EMG in mice, using established systems within the laboratory. Apply standard preclinical epilepsy/seizure protocols, pharmacology, and optogenetic techniques. Perform patch-clamp recordings from