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/Official Transcript(s) Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Mahfuz Rahman, Assistant Professor, mahfuz@uark.edu All application materials must be uploaded
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Posting Title Postdoctoral Researcher – Enzyme engineering / Chemoenzymatic synthesis . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NREL The National
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collaboration with Dan Eisenberg, Associate Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living humans and/or non-human primates. Job duties will be adapted
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Department: Computer Science Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 18 days ago
Intercomparison and Improvement Project, AgMIP), the integration of remotely-sensed information for the monitoring and forecast of extreme event impacts, and the use of high-performance computational resources
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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Princeton University's Program on Science and Global Security (SGS), based in the School of Public and International Affairs, is seeking a postdoctoral research associate to advance our work
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: Special Instructions to Applicants: Recruitment Contact Information: Samira Feyzi, Assistant Professor, sfeyzi@uark.edu All application materials must be uploaded to the University of Arkansas System Career
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
field such as Earth Science, Data Science, Computer Science, Remote Sensing, Environmental Science, Statistics, or a related discipline. Technical Skills: Machine Learning & Deep Learning: Demonstrated