10 finite-element-analysis Postdoctoral positions at University of Virginia in United States
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enhance our understanding of disease-relevant cis-acting elements and trans-acting effector proteins and metabolites. With the knowledge generated from these analyses you will work to develop more precise
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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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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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myeloid cells, a critical component of the body defense against infections, and how abnormalities in this regulation contribute to failure in myeloid cell maturation resulting in acute myeloid leukemia
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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