15 phd-studenship-in-computer-vision-and-machine-learning 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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Science, 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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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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, 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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molecular, biochemical, and behavioral manifestations. We have collaborations with other labs that enrich the overall research experience. QUALIFICATIONS Applicants must have PhD and/or MD (or equivalent
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experimental and computational angles. The candidate will have opportunities to drive his/her own research project(s), develop fellowship applications, write manuscripts, mentor junior trainees, and learn skills
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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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assistants. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. Salary
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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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