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specified by the Principal Investigator. Additional Information about the Job: A post-doctoral position is immediately available in the lab of Dr. Yana Bromberg, in the departments of Biology and Computer Science
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Classification Title: Postdoctoral Research Associate – Virtual Reality and Educational Innovation Classification Minimum Requirements: Doctoral degree in Computer Science, Human–Computer
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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Earth System Modeling”. Its overall objective is to develop an innovative framework for integrating citizen science data from the GLOBE Program with NASA Earth observations to model and predict mosquito
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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through
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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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multidisciplinary approach comprising immunology, cell biology, developmental biology and computational biology to complement our primary tools from intravital microscopy. The postdoctoral scholar will have direct
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne
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domains. Qualifications Required Qualifications: A recent PhD in a mathematical or scientific field (e.g., physics, computer science, statistics, applied mathematics, or a related quantitative discipline