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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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- Interfacing machine learning with climate models Company: Princeton University Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid
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The High Energy Physics Division (HEPD) at Argonne National Laboratory invites applications for a postdoctoral research associate position to conduct research in machine learning (ML
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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in modeling, analysis and control of electric power distribution and transmission system, applying state of the art machine learning (ML) and deep learning algorithms to develop cybersecurity
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/ ) focused on phonological learning and speech production (PIs: Drs. Sayako Earle and Ho Ming Chow). This position is 100% research with an ample opportunity to develop teaching skill. The successful candidate
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The University at Buffalo (UB), State University of New York seeks a cohort of three postdoctoral research associates to join a research team coordinated by the UB Institute for Learning Sciences
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Department of Radiology at the NYU Grossman School of Medicine invite applications for two Postdoctoral Research Associates to work on projects in the interdisciplinary field of Machine Learning and Healthcare
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- Interfacing machine learning with climate models Company: Princeton University Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid
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- Machine Learning in Biophysics About the Opportunity The SymBioSys Lab (www.simbiosyslab.com ) is seeking an independent and creative postdoctoral associate to support research on computational modeling