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Field
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closely related field, with a strong interest in biological systems are particularly encouraged to apply. We seek candidates with expertise in some of the following areas: molecular dynamics, Monte Carlo
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; About the project During our lifetimes, we copy approximately a lightyear’s worth of DNA, and how the different components of the molecular machinery (the replisome) work together to achieve
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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initio molecular dynamics simulations Quantum dynamics simulations Computational quantum chemistry for chemical reactions Qualifications For Postdoctoral Researchers: Ph.D. in Chemistry, Materials Science
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, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular
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methods such as Density Functional Theory (DFT) and Molecular Dynamics (MD), and, optionally, in X-ray scattering or diffraction.For more information and to apply, please submit a cover letter, CV and a
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—from cold interstellar ices to the early stages of planetary systems. The successful candidate will contribute to experimental studies simulating interstellar ice environments under controlled
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photo-bases. The work will focus on modeling of adiabatic and nonadiabatic photochemical processes to capture excited states dynamics using an array of ab initio molecular dynamics methods for excited
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-Integrated 3D Skin Models”, led by Prof. Jonathan Brewer (Department of Biochemistry and Molecular Biology, SDU), Dr. Mike Barnkob and Prof. Torben Barington (Department of Clinical Immunology, Odense
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/TranSIESTA), or Molecular Dynamics (including hybrid QM/MM or ML-IP simulations) - Apply for computational resources in HPC facilities when needed. - Prepare periodic reports of the results and provide