Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- KINGS COLLEGE LONDON
- Chalmers University of Technology
- Duke University
- Free University of Berlin
- KTH Royal Institute of Technology
- King's College London
- Northeastern University
- Radboud University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Grenoble INP - Institute of Engineering
- Institute of Chemical Research of Catalonia ICIQ
- Institute of Physical Chemistry, Polish Academy of Sciences
- Jagiellonian University
- Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Medical College of Wisconsin
- Nencki Institute of Experimental Biology
- Oak Ridge National Laboratory
- Radboud University; 3 Oct ’25 published
- Research Centre of the Slovenian Academy of Sciences and Arts
- SciLifeLab
- Slovak Academy of Sciences
- Stanford University
- Texas Tech University
- Tsinghua University
- University of California, Merced
- University of Copenhagen
- University of Gdańsk, Intercollegiate Faculty of Biotechnology
- University of Massachusetts Medical School
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Southern Denmark
- University of Texas at Tyler
- Utrecht University
- 29 more »
- « less
-
Field
-
years. Core competencies: ● Solid experience with molecular dynamics (MD) simulations and classical force fields (e.g., LAMMPS, GROMACS). ● Familiarity with polymer and ionic systems, surface interactions
-
individual, that will study the structure and functional dynamics of the bacterial lipopolysaccharide transport system using DEER and continuous wave EPR spectroscopies, molecular dynamics simulations, and
-
. Advanced programming skills, particularly in Python. Experience with computational approaches to protein folding welcome. Familiarity with molecular dynamics simulation tools such as GROMACS welcome. A solid
-
preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics
-
well as end-use requirements and sustainability. This project aims to create molecular understanding of adhesion mechanisms in bio-based wood adhesives. Anyone applying for this postdoc position should have
-
intelligence is preferred. Accompanying Knowledge, Skills, Abilities and Competencies The candidate should have excellent abilities in molecular modeling and simulations (molecular dynamics or Monte Carlo
-
will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model the CISS effect in molecular systems. Method development, potentially in the realm of time
-
models that include these mechanisms. The postdoc will develop biologically-constrained machine learning–based model discovery pipelines to derive interpretable surrogate ODE/PDE models from simulated ABM
-
., Science 380, 1048 (2023), Quantum simulator to emulate lower-dimensional molecular structure.
-
Sciences Division (CSD), Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). The postdoc will perform molecular dynamics simulations, statistical mechanics (e.g., rate theory) and