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parallel algorithms, execution of algorithms in the computer cloud, to delivering on-demand measurements over the Web. key words Image processing; Machine learning, Computer vision; Statistical methods
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knowledge in chemical engineering, thermodynamics, or thermophysics is required. Artificial Intelligence; Natural Language Processing; Machine Learning; Thermophysical and Thermodynamic Property Data
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; DNA sequencing; De novo assembly; Machine learning; Reference materials; Precision medicine; Data science; Artificial intelligence Eligibility citizenship Open to U.S. citizens level Open to
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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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301.975.3507 Description Recent developments in Artificial Intelligence (AI) have allowed machine learning models to solve certain complex problems in natural language processing and other areas at large scales
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advanced machine learning models and physics-informed algorithms for analyzing high-speed XRD data, with a focus on identifying critical transformation windows and assessing phase evolution kinetics
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and Techniques 59(1): 188, 2011 Database; Microelectronics; Machine learning; Data informatics; Physics; Terahertz; Metrology;
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techniques are oftentimes needed to correctly describe correlated electronic systems. In recent years, electronic structure methods have been coupled to machine learning to accelerate predictions and for
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practices for benchmarking germline small-variant calls in human genomes. Nature Biotechnology 2019, 37, 555. Genomics; Bioinformatics; DNA sequencing; De novo assembly; Machine learning; Reference materials
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in the generation of an unprecedented quantity of data. This marks an inexorable shift of the field into the realm of “big data,” necessitating the development of novel machine learning approaches