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, China [map ] Subject Areas: Computational Mathematics, Applied Mathematics, Artificial Intelligence, Numerical Analysis, Optimization, Statistics Appl Deadline: none (posted 2024/08/02 05:00 AM
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? No Offer Description The research assistant will be responsible for analyzing mathematical models and algorithms for tracking gas composition in CO₂ pipeline transport systems, as well as for detecting
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Areas: Financial Mathematics, Data Science, Optimization, Statistics Appl Deadline: (posted 2026/02/27 05:00 AM UnitedKingdomTime, listed until 2027/02/25 04:59 AM UnitedKingdomTime) Position Description
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systems, mathematical optimization, machine learning, or data science. Montana State University is a land-grant institution committed to achievement in research. The Department of Mathematical Sciences has
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advanced sensing modalities, highly optimized embedded AI workloads, and custom hardware platforms to enable robust, realworld perception. To drive this initiative, we are hiring a Senior SensorFusion
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. Job Description: Two postdoctoral researcher positions are available in the laboratory of Dr. Sarah Kim (https://pharmacy.ufl.edu/profile/kim-sarah/) to apply modeling and simulation approaches
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 15 days ago
technologies to handle the growing datasets. Candidates should have experience with the handling of animal data as well as deep knowledge in mathematical modelling and optimization. Thus, a master's degree in
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evolution of the universe are modeled and analyzed mathematically. Mathematics is used in all modern technological and scientific endeavors, from determining the optimal shape of aircraft wings to Internet
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use classical methods of analysis and synthesis. However, in the case of large systems, this type of approach will generally lead to very large optimization problems. A second strategy is to describe
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: Modern machine learning approaches are increasingly exploited to automate and optimize fault detection and classification. We propose to investigate methods that improve diagnostics under under-represented