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of materials under pressure, with a view to identifying and formalizing rules and concepts; - Applying the DFT/MLIP “Crystal Structure Prediction CSP” methodology to various issues addressed by the research
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 1 day ago
# Completed university studies (PhD) in the field of Physic, Chemistry or a related field # Advanced and in-depth knowledge of electronic structure theory # Strong and highly developed expertise in density
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PhD students involved in related activities Writing funding demands and scientific articles in the field Participate in research, education, and training activities across faculties The EuroCC3 project
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, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust
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quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between senior staff, PostDocs and PhD/Master students
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Python. The results will be interpreted by comparison with theoretical chemistry calculations in DFT, using software or developed programs. # Optical Activity Spectroscopy • You prepare the chiral
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Provide day-to-day supervision of Bachelor, Master, and PhD students involved in related activities Writing funding demands and scientific articles in the field Participate in research, education, and
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criteria The candidate should hold a PhD in computational chemistry, materials science, or a closely related field, with strong experience in DFT calculations (preferably periodic systems) and familiarity
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, participating actively in group discussions, and potentially contributing to undergraduate or graduate teaching. Applicants should hold (or be close to completing) a PhD in computational/theoretical chemistry
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density functional theory (DFT) and many-body perturbation theory (MBPT) based methods, in order to predict photophysical properties of novel semiconductors. The theoretical and computational predictions