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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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molecular dynamics, computational fluid dynamics, and quantum chemistry for next-generation hardware. You will join a project team of HPC software scientists at KCSC collaborating closely with and driving
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enhancement, manipulate ocean carbonate chemistry via electrochemical methods or alkalinity addition (enhanced rock weathering or via alkaline fluids), respectively. Both methods are beginning early pilot
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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Research Scholar to join in research efforts of interest to its faculty. Domains of interest include nonlinear partial differential equations, computational fluid dynamics and material science, dynamical
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 17 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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program through NIH career development (K) awards, and applicants must therefore be within the first year of postdoctoral training at the time of appointment. Candidates must hold a recent Ph.D. and/or M.D
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17 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Mathematics » Computational mathematics Mathematics » Geometry Researcher Profile Recognised
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling