11 Computer-Science-"https:"-"Data-driven-Materials-Modeling" "https:" Postdoctoral 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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strong expertise in remote sensing, computer vision, and big image data analysis, focusing on developing novel algorithms for mapping and monitoring environmental change. Position 2, we emphasize
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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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and Centers: Graduate School of Education Psychology Pediatrics Postdoc Appointment Term: 2 year Appointment Start Date: Open position How to Submit Application Materials: https://forms.gle
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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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materials) to apply for a Postdoctoral Research Fellowship. The successful candidate will work with simulation and experimental teams to design, model, conduct, and analyze data from ring and cylinder
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evolutionary outcomes and developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https
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, structural dynamics, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient
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interface of computational genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to
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world’s most pressing health challenges through innovative research and data analysis. We are seeking intellectually curious, analytically skilled, and mission-driven individuals committed to the