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application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position requires a fully on-site work arrangement and may be eligible for a compressed
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. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and compressed sensing
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, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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