1,411 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"Univ" Postdoctoral positions in United States
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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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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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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet . Relocation Bonus May Be...
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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
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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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, 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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Program at St. Jude Children's Research Hospital. The postdoctoral positions offer an intensive, mentored training experience in implementation science, community-engaged research, health equity, and cancer
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Postdoctoral Position in Microbiome, Bioinformatics, and Computational Biology - (250000Y1) The Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute of Genome Sciences
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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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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal