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RAP opportunity at National Institute of Standards and Technology NIST Applications of Machine Learning/AI to Neutron Scattering Location NIST Center for Neutron Research opportunity location
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RAP opportunity at National Institute of Standards and Technology NIST Incorporating Theory and Domain Knowledge into the Machine Learning of Polymeric Systems Location Material Measurement
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are interested in using Machine Learning and AI techniques to enable autonomous, AI-Driven, experimental research. There are many aspects of this nascent field that require further development. This includes
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RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and design Location Material
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near-infrared spectroscopy; polyolefins; circular economy; machine learning Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment
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. By leveraging material simulation and Machine Learning Interatomic Potentials (MLIPs), we aim to accelerate the interpretation of inelastic (INS) and quasi-elastic neutron scattering (QENS) data
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RAP opportunity at National Institute of Standards and Technology NIST Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence Location Material Measurement
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; Microelectronics; Machine learning; Data informatics; Physics; Terahertz; Metrology; Chemistry; Materials engineering;
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consideration will be made to candidates with experience in automation or machine learning. The postdoc will join a group which is focused on pioneering applications of modern machine learning methods, FAIR data
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RAP opportunity at National Institute of Standards and Technology NIST Autonomous experimentation and machine learning of material properties Location Material Measurement Laboratory, Materials