832 computer-engineer-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and
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College of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program
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computational tools, summarizes results, and interprets findings. Writes and contributes to research papers, grant applications, and other scientific publications. Publish research findings in peer-reviewed
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. -Supervise part-time student labor to accomplish the research project. -Assist with and contribute to various program managerial activities. -Perform other job related duties as required. Required Education
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and lead and support advanced research on West Nile virus (WNV) dynamics, with a primary focus on computational infectious disease modeling and quantitative analyses of field data. They will contribute
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of study, both on a computer and aboard ship, as assigned. Prepares technical reports and scientific papers for publishing. Maintains and applies a substantial knowledge of state-of-the-art observations
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
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Position Summary Working on research program centered on unraveling the intricate molecular mechanisms that govern DNA repair and replication, with a particular focus on nick sealing processes by human DNA
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
5 years or soon-to-be-completed in physics, materials science, chemistry, chemical engineering, or a related field. Demonstrated expertise in synchrotron-based XFM or related X-ray microscopy methods