17 big-data-and-machine-learning-phd Postdoctoral positions at University of Virginia
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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
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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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, Economics, or a related field, earned within the past six years Strong computational and statistical skills Experience with large-scale data analysis and machine learning Proficiency in scientific programming
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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
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position. For information on resources for postdocs at UVA, visit https://postdoc.virginia.edu/ . This position is based in Charlottesville, VA, and must be performed fully on-site. To learn more about UVA
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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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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into normal and malignant hematopoiesis, and to establish certain protein-RNA hubs as actionable therapeutic targets and molecular markers, contributing to the emerging field of precision medicine. To learn
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/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
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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