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Position Description Subject Area 1. Pure Mathematics 2. Applied Mathematics 3. Statistics 4. Computer Science 5. Artificial Intelligence 6. Cyberspace Security Qualifications: 1. Demonstrating
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related field: Computer Science Statistics / Biostatistics Applied Mathematics Data Science ● Demonstrated expertise in modern machine learning, including at least one of the following: Spatiotemporal
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
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the year. You are welcome to also apply to other opportunities offered at specific offices through the DOE Scholars Program. Are you ready to make an impact on the future of energy, environmental sciences
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degree in computational biology, applied mathematics, or applied computer science with applications in the areas of interest of the project (as listed above) will also be considered. Open positions have
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Engineering, Civil Engineering, Computer Science, Data Science, Applied Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager
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Engineering » Mechanical engineering Engineering » Systems engineering Engineering » Other Mathematics » Geometry Researcher Profile Recognised Researcher (R2) Application Deadline 1 Sep 2026 - 21:59 (UTC
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 22 hours ago
success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL Postdoctoral Research Fellowship Program (Postdoc) is a high-intensity
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML