146 assistant-professor-computer-science-and-data Postdoctoral positions in United States
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-based study systems is not required, however. Ability to write computer scripts and work in the R environment Experience in the culture and care of research plants. Valid PA Driver’s license, or ability
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
the academic work of research associates and graduate research assistants involved in specific projects. Qualifications 1. A Ph.D. in Computer Science or another related field required. 2. Advanced quantitative
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Biomolecular Engineering (CBE) and the Systems Engineering Program is seeking a highly motivated and talented individual to join our team as a Postdoctoral Associate in Engineering Education Research. The REDES
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: Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area: Applied Math Position Description: The Computational Science and Engineering Laboratory at Harvard University invites
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liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network
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experience beyond what is stated in the Required Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science
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description Applications are invited for a full-time postdoctoral research position in Professor Henrik R. Larsson's Theoretical Chemistry/Computational Physics group at University of California, Merced
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Position Description The Massive Data Institute (MDI) and the Department of Computer Science seek a postdoctoral fellow to join a project that focuses on responsible AI innovation. The project is led by
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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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Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG), Experimentation, Genome-Wide Association