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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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certifications in the field of energy efficiency. Familiarity with industrial processes, building science, heating and cooling technologies, and mechanical systems and controls. Familiarity with numerical
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: Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications Experience with numerical computing using
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record of productive and creative research demonstrated by publications in peer-reviewed journals and presentations at major conferences. Familiarity with numerical data analysis and customization