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Field
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the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate materials for sustainable energy, with proven expertise in hydrogen embrittlement, hydrogen storage
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within the M2i framework Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 24 hours ago
be given the opportunity to copy over what they had previously submitted. All documents must be in English or include an official English translation. If you have questions about the application
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this position, you will employ molecular dynamics (MD) simulations to investigate the underlying atomistic mechanisms of LCI in steel grain boundaries and the inhibitory role of silicon. Your MD-based approach
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validation, this position addresses the underlying governing atomistic mechanisms. Within this position, you will employ molecular dynamics (MD) simulations to investigate the underlying atomistic mechanisms
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for interdisciplinary collaboration Commitment to ORNL’s core values: Impact, Integrity, Teamwork, Safety, and Service Preferred Qualifications: Deep expertise in atomistic and multiscale simulation methods (e.g., MD
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, Integrity, Teamwork, Safety, and Service Preferred Qualifications: Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM) Experience improving performance and
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cover letter to be sent to: [email protected] Profil du candidat Diplôme préparé : Bac+5 – Diplôme Ecole d’ingénieurs Compétences scientifiques : atomistic simulations, statistical physics
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. Major duties include: Calculate interaction energies from density-function theory Train machine learning models/potentials Conduct atomistic simulations to explore adsorption/diffusion Analyze
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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and