Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- MASARYK UNIVERSITY
- DAAD
- University of Nottingham
- ; University of Birmingham
- ; University of Nottingham
- ; University of Warwick
- Chalmers University of Technology
- Empa
- Helmholtz-Zentrum Dresden-Rossendorf •
- Max Planck Institute for Sustainable Materials •
- Nature Careers
- Queensland University of Technology
- University of Groningen
- 3 more »
- « less
-
Field
-
inviting applications for a PhD Student (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy
-
analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
-
, or related fields Good English language – spoken and written Nice-to-have: Experience with molecular dynamics simulations (with GROMACS, CHARMM, NAMD, AMBER, LAMMPS, etc.) at the atomistic or coarse-grained
-
(with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc.) at the atomistic or coarse-grained level would are advantageous. Good communication and interpersonal skills Motivation and a collaborative mindset What
-
) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
-
mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
-
for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
-
.) at the atomistic or coarse-grained level Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access to CEITEC MU core facilities with state-of-the-art
-
into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
-
into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning