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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic
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-eddy simulation and direct numerical simulation of the phenomena. Topics of interest include algorithm development numerical combustion, scientific visualization, and data analysis. key words Buoyancy
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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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mirrors based on Wolter optics, development of denoising and segmentation algorithms using machine learning [3], neutron energy-selective imaging, neutron phase grating imaging, polarized neutron imaging
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diagnostic processes. Additional projects may include creating large brain/head virtual data sets using simple growth algorithms to mimic brain tissue as well as various lesions. Bloch solvers with built in
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reconstruction with advanced phase retrieval algorithms. A qualified and preferred candidate would have some expertise and/or experiences in optical microscopy, computational imaging, instrumentation for optical
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Computational electromagnetics; Integral equations; Numerical algorithms; Fast multipole method; Field solvers; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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chromatography/mass spectrometry (LC-MS) measurements using principal component analysis, partial least squares, genetic algorithms, and other multivariate statistics. Current projects have accumulated a