Sort by
Refine Your Search
-
Listed
-
Employer
- Princeton University
- Argonne
- Northeastern University
- Duke University
- Oak Ridge National Laboratory
- University of Delaware
- University of North Texas at Dallas
- Indiana University
- Stanford University
- Texas A&M AgriLife
- Texas A&M AgriLife Extension
- Texas Tech University
- The Ohio State University
- University of California, Merced
- University of Kansas
- University of North Carolina at Chapel Hill
- University of Pittsburgh
- University of Texas at Tyler
- Virginia Tech
- 9 more »
- « less
-
Field
-
closely related field, with a strong interest in biological systems are particularly encouraged to apply. We seek candidates with expertise in some of the following areas: molecular dynamics, Monte Carlo
-
for precision medicine, and beyond. Minimum Qualifications Ph.D. in biophysics, computational biology, chemistry, pharmacology, or a related field • Strong background in molecular dynamics simulations and/or
-
; excellent verbal and written communication skills; and a collaborative mentality towards research and mentoring. Desired skills and techniques include Molecular Dynamics Simulation, Electronic Structure
-
) Agricultural Research Service (ARS). Overview: We are seeking highly motivated postdoctoral fellows to join our dynamic team with broad focus areas in prevention of diet-related chronic diseases, plant genetics
-
contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics
-
related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
-
nanocrystals and carry out Brownian and molecular dynamics simulations of their self-assembly behavior in solution, on surfaces, or trapped at fluidfluid interfaces. 2) Carry out free energy calculations using
-
molecular dynamics simulations. This position emphasizes research in the modeling of complex chemical systems, where the candidate will integrate advanced simulation techniques with modern machine learning
-
, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular
-
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