1,317 professor-computer-science-"https:"-"https:" Postdoctoral positions in United States
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Field
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and to develop novel and improved platforms for quantum computation and communication and thus strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing
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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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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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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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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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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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susceptibility to online and offline experiences and exposures; c) applications of computational social science methods in developmental research (e.g., use of large language models (LLMs) and other advanced
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We present an exciting opportunity for an enthusiastic and skilled researcher to join our team as a Postdoctoral Fellow in Inorganic/ Organometallic Chemistry at the University of Central Florida
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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