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lack of real fire data and flashover prediction forecast before the occurrence are included as reference [1, 2]. We are seeking scientists to work with us to develop machine learning based prediction
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understanding of materials. For communications technology, the lack of acoustic data limits the design of acoustic filter technology. For pharmaceuticals and chemical manfucaturers, there are important relaxation
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of data relevant to forensic science disciplines. A need exists to gain a deeper understanding of instrument responses (i.e. mass spectral or spectroscopic data) obtained from samples such as street drugs
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RAP opportunity at National Institute of Standards and Technology NIST Lightweight Cryptography for Resource Constrained Applications Location Information Technology Laboratory, Computer
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; and (2) experiments devoted to studies of quantum-state engineering and entanglement with application to quantum-information processing, quantum simulation, spectroscopy, and tests of quantum mechanics
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time dependent or transient structures of complex soft matter materials are significantly under explored, in particular at nanometer length scale. The information of the time dependent structural
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renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data and distributed control intelligence that can be applied to solve these problems
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-computer interactions such as curation and information retrieval. key words Ontologies; Natural Language Processing; Machine Learning; Artificial Intelligence Eligibility citizenship Open to U.S. citizens
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are affected by defects, impurities, and other realistic deviations from ideality. Because this project will be conducted in close collaboration with experimentalists, direct comparison with measured data will
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Kumar Banerjee dilip.banerjee@nist.gov 301.975.3538 Description The use of lightweight materials in vehicles will significantly increase fuel efficiency and cut emissions, but the auto industry lacks data