Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- RMIT UNIVERSITY
- Simons Foundation/Flatiron Institute
- University of Nottingham
- University of Waterloo
- Zintellect
- CNRS
- CRANFIELD UNIVERSITY
- College of Chemistry and Molecular Engineering, Peking University
- Hiroshima University
- Hokkaido University
- Nature Careers
- Paul Scherrer Institut Villigen
- REQUIMTE - Rede de Quimica e Tecnologia
- RMIT University
- SciLifeLab
- Universidade de Coimbra
- University of New South Wales
- University of Nottingham;
- University of Stavanger
- University of Tartu
- 12 more »
- « less
-
Field
-
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
-
using advanced techniques like small-angle neutron scattering SANS and flow-induced polarized-light imaging (birefringence) Develop a novel experimental and simulation framework to explain, model, and
-
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
-
Assignment The University of Coimbra opens a call for the assignment of a research grant, with one position(s), under the project PS1521, title Development of pathophysiological models. The call is governed by
-
analysis, modeling and simulation. The FI hosts scientists, applied mathematicians, and collaborating expert programmers who work to create, deploy and support new state-of-the-art computational methods
-
). • 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
-
research experience will also be considered. Preferred skills: Experience in infectious disease and animal models Experience performing virologic techniques, molecular biologic laboratory assays, cell
-
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
-
, 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
-
Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning approaches