1,401 professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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. This calls for expertise across disciplinary sciences - encompassing quantum information theory, physics of quantum materials - to develop new design principles for scalable, fault-tolerant quantum computing
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Position Title: Postdoc Social Sciences Research and Teaching Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The primary responsibilities
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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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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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the area of redox biology. Moreover, the Postdoctoral Associate, SOM contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field
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Details Title Post-Doctoral Fellow in Chemistry and Chemical Biology (Woo Lab) School Faculty of Arts and Sciences Department/Area Chemistry and Chemical Biology Position Description The Christina
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format successfully. Position Summary The Nienhaus Lab of the Department of Chemistry at Rice University is seeking a postdoctoral research associate with expertise in ultrafast optical spectroscopy
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The Applied Materials Division (AMD) at Argonne National Laboratory is looking to hire a Postdoctoral Appointee – Materials Science. The Applied Materials Division conducts applied research
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identity, or gender expression. Department Overview The Department of Animal Science (http://www.ansci.umn.edu) in CFANS is located on the St. Paul campus. The Animal Science major enrolls approximately 400
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather