Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
have experience of using molecular dynamics and/or density functional theory methods and a proven ability to structure, manage and work with quantitative data. You will be able to evidence designing and
-
-driven materials design" https://www.nature.com/articles/s41524-020-00440-1 2. https://jarvis.nist.gov/ 3. https://www.nist.gov/people/kamal-choudhary Machine learning; Density functional theory; force
-
language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5
-
and endolysosomal mechanisms; and (3) theoretical and computational neuroscience, including models, algorithms, or theory that probe mechanisms of neural circuit function across levels of biological
-
Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | about 1 month ago
employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new
-
–based materials by Density Functional Theory: Ferroelectric perovskites, such as BaTiO3 (BTO), are promising materials for electro-optic modulators (EOMs) in photonic quantum computers owing
-
for additional job details https://www.inesctec.pt/en/opportunity/AE2026-0234 Work Location(s) Number of offers available1Company/InstituteINESC TECCountryPortugalCityPortoPostal Code4200-465StreetCampus da
-
, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
-
] - Dynamical Mean-Field Theory (DMFT) and Density Functional Theory (DFT) - Density Matrix Embedding Theory (DMET) - Density Matrix Renormalization Group (DMRG) - Quantum Monte Carlo (QMC) - Tensor network
-
highly desirable. Experience with computational methods such as density functional theory calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage