24 mathematical-analysis-math-physics Postdoctoral positions at University of Virginia
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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cell biology. Additional preferred qualifications include: experience in mouse models of disease, flow cytometry, single-cell RNA sequencing analysis, and image processing and analysis. Qualified
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, if desired. This position is located in Charlottesville and is planned to start on or around July 1, 2025. Role and Responsibilities- The CASTL Post Doctoral Research Associate will help with data analysis and
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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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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
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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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, including the notion that mind and brain are distinct and separable and that some aspect of consciousness may survive physical death. This position is funded by the Philip B. Rothenberg Research Fund, and the
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., mindfulness-based interventions; psychedelics; music; suvorexant). Candidates must have a Ph.D., M.D., or equivalent degree prior to start date. Independent EEG processing and analysis skills are required
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. Minimum Qualifications: Education: Ph.D. or equivalent in engineering, physics, chemistry, or any biomedical science Preferred Experience: A strong background in the theoretical and experimental aspects