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higher education institution in conjunction with an R&D unit in Chemistry, Biochemistry or related fields. Knowledge of protein modeling, virtual screening and classical molecular dynamics. In case
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multistate-multiphysics deep learning potentials and polarizable embedding methodology to simulate photoinduced charge-transfer dynamics in multichromophoric systems, such as photosynthetic reaction centers
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and development activities in the fields of atomistic simulations, including density functional theory, machine learning, and molecular dynamics. The work involves theoretical and experimental research
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, materials science, or a related discipline Advanced knowledge of rheology, fluid dynamics, and microfluidics to design and execute experiments simulating real-world conditions Demonstrated interest in soft
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of research. These include: Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics Numerical methods for partial differential equations and
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experience in theoretical and/or computational research in condensed matter physics, nanoscience, optics, statistical physics or thermodynamics, chemical physics, as well as in molecular dynamics simulations
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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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). • Required Skills: 1. Strong background in statistical mechanics and thermodynamics 2. Proficiency in first-principles calculations (VASP, Quantum Espresso) and molecular dynamics simulations (LAMMPS, OpenMM
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python