3,094 data-science-"https:"-"https:"-"Data-driven-Materials-Modeling" Postdoctoral positions
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18 Sep 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Computer science Researcher Profile Established Researcher (R3) Application Deadline 15 Oct
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Work on globally unique experimental data to shape understanding of tsunami inundation of coastlines and interaction with buildings. Job description Tsunami engineering is a field that has grown
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of American Universities. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/22410095/post-doctoral-associate-in-the-division-of-engineering-x28-computer
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agoPostdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in the field of Materials Science, Physics, Computer Science, Data Science, Information Science
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Postdoctoral Associate- Stable Isotope Sciences Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in ecology and evolution, paleobiology
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Postdoctoral Associate- Stable Isotope Sciences Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in ecology and evolution, paleobiology
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center positioned at the interface of data science, molecular and cellular biology, and quantitative physical sciences. The Center provides leadership in the integration of diverse, publicly available
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Sciences at Penn State University. NCEMS is an NSF-funded interdisciplinary research center positioned at the interface of data science, molecular and cellular biology, and quantitative physical sciences
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positioned at the interface of data science, molecular and cellular biology, and quantitative physical sciences. The Center provides leadership in the integration of diverse, publicly available datasets
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at the interface of data science, molecular and cellular biology, and quantitative physical sciences. The Center provides leadership in the integration of diverse, publicly available datasets to gain