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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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The University of Virginia School of Education and Human Development's Center to Promote Effective Youth Development (Youth-Nex ) is seeking highly qualified applicants for a one-year Postdoctoral
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. In addition, within this role, the Associate will receive (a) mentored professional development on manuscript preparation and grant development; (b) immersion in large-scale research; (c) research
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The University of Virginia School of Education and Human Development's Center to Promote Effective Youth Development (Youth-Nex ) is seeking highly qualified applicants for a one-year Postdoctoral
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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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governance. Lifelong Learners: encompasses professional development through formal education, professional certification, internal and external learning opportunities and recognizes the value of external
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the transdisciplinary study of contemplation to prepare the next generation of researchers, grow expertise at the University of Virginia, and contribute to advancing contemplative knowledge and know-how. The fellow will