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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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that underlie astrophotonic applications demonstrated skills in devising and performing optical laboratory experiments demonstrated skills in scientific / numerical programming and data analysis excellent
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical laboratory testing, and complementary numerical simulations to improve understanding
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the conventional blast furnace process. Duties/responsibilities -performing high level experimental, theoretical, and numerical research and data analysis (65%) -presentation publication, and proposal preparation
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systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics and mathematical approaches to signal analysis
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are As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through
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pandemic and epidemic potentials. Required Qualifications • PhD in Microbiology, Molecular Biology, or a closely related field. PhD must be awarded no more than four years prior to the effective date
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20 Jul 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power