Sort by
Refine Your Search
-
Country
-
Employer
- Stony Brook University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Umeå University
- University of California, Merced
- Brookhaven National Laboratory
- Institute of Physical Chemistry, Polish Academy of Sciences
- Pennsylvania State University
- Zintellect
- AALTO UNIVERSITY
- Argonne
- CNRS
- ICMAB
- Iowa State University
- King's College London
- Massachusetts Institute of Technology
- Oak Ridge National Laboratory
- Princeton University
- RIKEN
- SUNY University at Buffalo
- SciLifeLab
- Stanford University
- Technical University of Munich
- The University of Arizona
- UNIVERSITY OF VIENNA
- Umeå universitet stipendiemodul
- University of California
- University of Florida
- University of Manchester
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Sydney
- University of Texas at Dallas
- University of Texas at Tyler
- University of Vienna
- Université Paris Cité
- Uppsala University
- WPI-AIMEC established by Tohoku University and JAMSTEC
- Yale University
- 30 more »
- « less
-
Field
-
this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
-
an established code (for example VASP, Quantum ESPRESSO). ● Research experience performing molecular dynamics simulations. ● Experience training, fine-tuning, or validating machine-learning interatomic
-
. Position 1: Attosecond electron dynamics This position is part of the DOE-funded Early Career project "Rigorous quantum simulation tools for correlated attosecond electron dynamics in molecules." It will
-
deadline is 16th of November 2026. Departmental specific information The molecular epigenetics (Yuri Schwartz) lab, situated in the Department of Molecular Biology, Umeå University, is a dynamic and
-
(including neural quantum states), stabilizer and near-Clifford simulation, Gaussian/free-fermion methods, open-system dynamics (Lindblad master equations). - Machine learning for physical systems: deep
-
closely related quantitative field in hand by the start of the appointment. ● Demonstrated expertise in molecular dynamics simulation and enhanced-sampling techniques (e.g., Gaussian accelerated MD/GaMD
-
-of-the-art solid-state NMR techniques, including fast magic-angle spinning (MAS), proton-detected NMR, dynamic nuclear polarization (DNP), and multinuclear spectroscopy to investigate molecular structure
-
design. The position will primarily investigate G protein-coupled receptors (GPCRs) involved in cardiovascular and hormone signaling pathways using computational approaches such as molecular dynamics
-
robust, open-source implementations and connect the resulting models to nonadiabatic molecular dynamics simulation workflows. We’re here for the same mission, to bring science solutions to the world. Join
-
constant-potential simulations, explicit-solvent methods, ab initio molecular dynamics or electrochemical-interface modelling. Pre-employment checks and declarations Your employment is conditional upon