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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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, dissemination of research through publications, and mentoring PhD students. The labs’ extensive collaborative networks, both nationally and internationally, span various disciplines, offering diverse applications
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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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from the NIDDK and focuses on investigating the role that T1D risk variants play in islet autoimmunity through advanced single-cell techniques. The lab seeks an independent, highly motivated PhD-level
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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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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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of them are required at start date. Cell culture: Culture of various cell types (cancer cells, stem cells, primary cells, organoids, neurospheres). Cell cycle analysis, 2D/3D colony formation assays, siRNA
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well as testing effectiveness of implementation supports (e.g., professional learning communities and coaching). Responsibilities: Coordinating data collection and analysis activities. Developing and disseminating
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R