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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 20 hours ago
computational physics, chemistry, and materials science. Research experience involving density functional theory and ML simulations and is Familiarity with software packages such VASP, CP2K, Gaussian, Scikit
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focus on developing and applying tensor-network methods such as TD-DMRG, MCTDH, and TTNS to simulate correlated electron dynamics in molecules on attosecond timescales. Possible research directions
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of Research Experience1 - 4 Additional Information Eligibility criteria The position requires a strong background in physics, physical chemistry, or materials science, with experience in atomistic simulations
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1 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Materials engineering Engineering » Nuclear engineering Researcher Profile
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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Requisition Id 16930 Overview: We are seeking a Postdoctoral Research Associate to advance the scientific validation of quantum simulations for quantum materials. This work directly supports the
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our
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of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact
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-dimensional variational (4D-Var) modeling with research involving sensors and autonomous vehicles. The work will address autonomy and path planning; use Observing System Simulation Experiments (OSSEs