Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Princeton University
- AALTO UNIVERSITY
- Argonne
- University of Oxford
- Nanyang Technological University
- University of New South Wales
- Chalmers University of Technology
- Duke University
- King's College London
- National University of Singapore
- Oak Ridge National Laboratory
- RMIT UNIVERSITY
- SciLifeLab
- UNIVERSITY OF HELSINKI
- University of Waterloo
- CNRS
- CRANFIELD UNIVERSITY
- Cranfield University
- Curtin University
- Forschungszentrum Jülich
- Free University of Berlin
- Fudan University
- Hokkaido University
- KINGS COLLEGE LONDON
- Leibniz
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Renewable Energy Laboratory NREL
- Northeastern University
- RMIT University
- Slovak Academy of Sciences
- Stanford University
- Technical University of Denmark
- Texas A&M AgriLife Extension
- The University of Queensland
- Tsinghua University
- University of California, Merced
- University of Copenhagen
- University of Kansas
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Oslo
- University of Southern Denmark
- University of Tennessee at Chattanooga
- University of Texas at Tyler
- Virginia Tech
- Zintellect
- 40 more »
- « less
-
Field
-
molecular dynamics, enhanced sampling, and kinetic modeling—the team investigates how neurotransmitters like norepinephrine and hormones such as estrogen interact with β-adrenergic and estrogen-related GPCRs
-
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
-
, Quantum espresso); molecular dynamics simulations (e.g. LAMMPS, DL-POLY); development of inter-atomic potentials (e.g. pro-fit, MLIP-3); Demonstrated experience in meso-scale models such as cluster dynamics
-
simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
-
CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
-
collaboration with the national (GTK, CSC) and international project partners (Karlsruhe Institute of Technology). Perform ab initio molecular dynamics (MD) simulations together with consortium partners
-
processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
-
with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and
-
group of A/Prof Patrick Burr, please visit https://www.patrickburr.com/group In your role you will be responsible for performing ab-initio and molecular dynamics simulations, and for developing inter
-
) 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