10 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Postdoctoral positions at University of Virginia
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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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Center. The broad areas of interest in Dr. Trinh's lab include: gene regulation by RNAs and proteins, modulation of gene-specific chromatin architecture, blood development, cancer and genetic diseases
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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of the brain and development of novel therapeutics. The Mailman lab focuses on mechanisms of drug receptor interaction, and the discovery and development of CNS drugs. Our laboratory discovered the first
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of national research infrastructures Evaluating the evolution of Generative AI performance over time and across tasks Analyzing international AI models and their representations of the U.S. in global discourse
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Center. The broad areas of interest in Dr. Trinh's lab include: gene regulation by RNAs and proteins, modulation of gene-specific chromatin architecture, blood development, cancer and genetic diseases
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The Division of Pulmonary & Critical Care Medicine at the University of Virginia is seeking applications for a post-doctoral Research Associate beginning in Summer 2025 to work on the development
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of microglia in development and neurodevelopmental disorders. The laboratory aims to elucidate the mechanisms by which microglia are involved in the developing brain and interact with the vasculature. Techniques
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interplay to regulate tumorigenesis. Our research focuses on identification of the cell of origin and elucidating the role of tumor microenvironment in cancer development. We dissect the cellular and
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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