32 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"J" positions at NIST
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, constraint programming, Bayesian methods, sparse kernel machines, graphical models, and deep learning. Some examples of materials classes of interest for this project are photovoltaic, thermoelectric
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301.975.6662 Description An experimental and modeling program is underway to further the understanding of dynamic processes that occur in fires and to reduce the impact of fire on people, property, and the
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