Sort by
Refine Your Search
-
Employer
- University of North Carolina at Chapel Hill
- Princeton University
- The University of North Carolina at Chapel Hill
- University of Utah
- Argonne
- Brookhaven National Laboratory
- Nature Careers
- New York University
- Northeastern University
- Stanford University
- University of California, Merced
- University of Delaware
- University of Texas at Dallas
- University of Texas at Tyler
- 4 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
-
preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics
-
materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and computational methods and AI techniques for accelerated simulations
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
-
or molecular dynamics, while also developing deep expertise in one or more complementary areas, including: Protein chemistry of small GTPases, kinases, SLC transporters, and metabolic enzymes. Chemical biology
-
, high-throughput simulations, molecular dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be
-
simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https
-
molecular dynamics simulations, applicable to materials science, biomolecules, or a related field. Programming experience (e.g., Python), with a strong background in developing and applying computational
-
operate in a friendly and dynamic team environment of the Condensed Matter Theory Group, with opportunities to interact with BNL scientists across disciplinary boundaries, notably the Co-Design Center