18 software-verification-computer-science Postdoctoral research jobs at University of Virginia
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The Department of Public Health Sciences and the Institute of Law, Psychiatry, and Public Policy (ILPPP) at the University of Virginia School of Medicine are seeking applicants for a Post-Doctoral
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
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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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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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· Effective written and verbal communication skills. · PhD degree in computer science, data science, or related fields, to be completed by the start date of the appointment. · Strong software
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at the endoplasmic reticulum and mitochondria. Our lab combines cryo-electron microscopy (cryo-EM), cellular cryo-electron tomography (cryo-ET), biochemistry, and cell biology to uncover how protein targeting and
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findings at conferences and professional meetings Collaborate with leading researchers within and outside UVA Qualifications U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science
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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs
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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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, therapeutic development. His lab employs a multidisciplinary approach, comprising biochemistry and cellular biology as well as global transcriptomic, epigenomic, and 3D chromatin structure analyses, using