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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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, the Associate will receive (a) mentored professional development on manuscript preparation and grant development; (b) immersion in large-scale research; (c) research training; and (d) tailored professional
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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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targeted to better clinical outcomes. The laboratory also has the goal of therapeutic development to these targets. The ideal candidate should possess substantial knowledge and skills to foster innovative
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, spanning computational data analysis, community-based participatory research, community needs assessments, partnership-building, and related grant development opportunities. The successful candidate will be
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are responsible for developing two courses in one (or two) of the Engagement pillars. For more information about the Engagements, visit: http://gened.as.virginia.edu . Postdoctoral Research Associates teach six
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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
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. This position will focus on developing and applying novel statistical methods, machine learning approaches, and AI-driven computational tools, with a strong focus on statistical genetics and genomics
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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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, recommend and implement solutions, and collaborate in the development of new techniques. We expect that a significant portion of time will be devoted to collaborating with other faculty. QUALIFICATIONS