Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- The Ohio State University
- Duke University
- National Energy Technology Laboratory (NETL)
- University of Central Florida
- ;
- Aalborg University
- Argonne
- Delft University of Technology (TU Delft)
- Empa
- Grenoble INP - Institute of Engineering
- Harvard University
- ICMAB
- Inria, the French national research institute for the digital sciences
- King Abdullah University of Science and Technology
- Lehigh University
- Massachusetts Institute of Technology
- Max Planck Institute for Chemistry, Mainz
- Michigan State University
- Research Center for Molecular Medicine (CeMM), ÖAW
- SciLifeLab
- Stony Brook University
- Technical University of Munich
- University of Illinois at Chicago
- University of Maryland, Baltimore
- University of North Texas at Dallas
- University of Oregon
- University of Oxford
- Virginia Tech
- 19 more »
- « less
-
Field
-
Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
-
Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
-
Yang (Research Team Leader at MPIC). The project aims at developing AI-powered molecular modeling tools to uncover how molecules form atmospheric aerosols — tiny particles with huge impacts on climate
-
multiscale network structure. The researcher will develop scalable methods for computing these features on a very large knowledge graph, integrate them into a transformer-based language model, and test their
-
-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
-
Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and
-
multiscale model describing the response of chondrocytes to mechanical and biochemical stimuli. This model will integrate established subcellular signalling pathways that regulate switching between homeostatic
-
, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
-
. - Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models. - Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
(position, impedance/stiffness, hybrid control) — advanced level Scientific programming (C++ and/or Python) and real-time robotic frameworks (e.g. ROS/ROS2) — advanced level Multiscale and multiphysics