14 big-data-and-machine-learning-phd Postdoctoral positions at University of Virginia
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, Physics, Engineering, or a related field, earned within the past six years Experience with AI and machine learning Excellent written and spoken communication skills Demonstrated ability to produce high
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participants Conducting and writing literatures Minimum Qualifications Education: Doctoral degree Preferred Qualification Education: PhD in literacy education, reading, teacher education, learning sciences
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skills (e.g., statistical methods, machine learning, etc.), the ability to manage large datasets, and experience with using large-scale datasets such as UK Biobank, All of Us, ARIC, TCGA is highly
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, with the goal of improving the health of all Virginians. The candidate will contribute to implementing research initiatives that apply big-data analytics, data science, and community-engaged methods
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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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to bring to the lab. They will be expected to help teach other trainees rotating in the laboratory, including pulmonary and critical care fellows, medicine residents, PhD candidates, medical students, and
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ideas and interests in one of these areas with a solid track-record of research productivity during their PhD and/or initial postdoctoral training. MINIMUM REQUIREMENTS Education: Applicants must have PhD
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congenital human disorders, potentially leading to the development of novel therapeutics for related human diseases. For more information about the Tang Lab can be found through: https://med.virginia.edu/bmg
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2026 The research associate will work closely with a Finance area faculty member, primarily supporting research and data analysis pertaining to the Center's various on-going research projects
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Lawmaking, and will have the opportunity to teach one class in the Batten School. A particular research focus on lawmaking in American state legislatures and/or the U.S. Congress is welcome. The Center