4 Computer-Science-"https:"-"Data-driven-Materials-Modeling" "https:" Fellowship positions
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and dissemination efforts. Perform other related duties as assigned. Qualifications: A Ph.D. degree (by early 2027) in computer science, data science, statistics, bioinformatics, electrical
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Innovation: https://reporter.nih.gov/project-details/11294051 · WONDER: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: https
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big-data lake ecology research using techniques from statistics and computer science (e.g., statistical modeling, machine learning, data mining). Knowledge of open science tools (e.g., Github, Zenodo
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scientific computing, control theory, data science, data driven methods, discrete mathematics, discretization methods, graph algorithms, high-performance computing, integral equations and nonlocal models