12 modal-analysis-artificial-intelligence Postdoctoral positions at University of Virginia
Sort by
Refine Your Search
-
foundation model pipelines Resilience of AI systems Scaling and systems theoretic modeling of generative AI We seek applicants who are eager to push the boundaries of data science, artificial intelligence, and
-
We seek applicants who are eager to push the boundaries of data science, artificial intelligence, and network modeling to address real-world policy challenges. Key Responsibilities: The Postdoctoral
-
postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML
-
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
-
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
-
well as testing effectiveness of implementation supports (e.g., professional learning communities and coaching). Responsibilities: Coordinating data collection and analysis activities. Developing and disseminating
-
/psychiatry Preferred Qualifications Psychology/psychiatry education/training that included coursework in statistics and data analysis. Law education/training that included coursework in health law, mental
-
A Postdoctoral Research Associate position in advanced MRI acquisition, analysis, and modeling is available in the Department of Radiology at the University of Virginia School of Medicine, under
-
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
-
of MR and biomolecular mechanisms is preferred, as well as demonstrated research experience in hyperpolarized-gas MR, including involvement in the acquisition and post-processing analysis of ventilation