Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Brookhaven National Laboratory
- Princeton University
- Duke University
- Lawrence Berkeley National Laboratory
- Northeastern University
- Oak Ridge National Laboratory
- Rice University
- Stanford University
- The Ohio State University
- University of California
- University of California, Merced
- University of Miami
- University of Minnesota
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of Texas at Dallas
- University of Texas at Tyler
- University of Utah
- Zintellect
- 10 more »
- « less
-
Field
-
Engineering, Computer Science, or a related field. Accompanying Knowledge, Skills, Abilities and Competencies Excellent abilities in molecular modeling and simulations (molecular dynamics or Monte Carlo
-
the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The research position(s) are within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
-
molecular tools, capsid architectural modeling, classical nucleation theory, molecular dynamics simulations, and protein expression. The ideal candidate will have a background in mathematical biology
-
research codebase and data; excellent verbal and written communication skills; and a collaborative mentality towards research and mentoring. Desired skills and techniques include Molecular Dynamics
-
modeling of x-ray spectroscopies sensitive to molecular chirality; simulations of x-ray–induced ultrafast electron-transfer, decay, and nuclear dynamics in gas- and liquid-phase systems; and the development
-
preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics
-
to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
-
papers and reports. We are looking for: Ph.D. in Chemistry/Physics/Materials Science, or similar fields. Density Functional Theory, Molecular Dynamics (ab-initio MD and/or nonadiabatic MD), Kinetic
-
. Quantum Mechanical Calculations: - Performing first-principles based or Density Functional Theory (DFT) calculations for molecules/materials and interphases - Utilizing Molecular Dynamics (MD) simulations