Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Aston University
- Brookhaven Lab
- Chalmers University of Technology
- Heriot Watt University
- Princeton University
- University of New South Wales
- University of Washington
- ;
- Argonne
- Baylor College of Medicine
- Brookhaven National Laboratory
- Duke University
- Erasmus University Rotterdam
- IMT
- Indiana University
- Nature Careers
- New York University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Shanghai Jiao Tong University
- Stanford University
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- Technical University of Munich
- Texas A&M University
- University of British Columbia
- University of Central Florida
- University of Delaware
- University of Houston Central Campus
- University of Kansas
- University of North Texas at Dallas
- University of Oklahoma
- University of Oxford
- University of Tübingen
- Washington University in St. Louis
- Western Norway University of Applied Sciences
- 27 more »
- « less
-
Field
-
in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
-
researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
-
eA Monte Carlo generators and detector simulations Experience with detector performance for high energy or nuclear physics experiments Experience with detector R&D and/or construction OTHER INFORMATION
-
of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
-
System Models, or related simulation tools. Additional knowledge of statistical methods, Monte Carlo techniques, or ensemble approaches is highly valued. The post is advertised as full-time. We are open to
-
magic, quantum circuits, quantum algorithms (3) Quantum many body computations, including sign problem theory, Quantum Monte Carlo method, DMRG, and machine learning Appointments of postdoctoral
-
other sources to train and validate AI models. Develop computational workflows incorporating LLMs, Monte Carlo Tree Search (MCTS), phylogenetic inference, uncertainty quantification, and epidemiological
-
groups in theoretical and experimental particle physics and astrophysics. The successful candidate will conduct research on precision calculations for high-energy collider experiments and Monte Carlo
-
-atomic potentials (e.g. pro-fit, MLIP-3). Knowledge of meso-scale models such as cluster dynamics (e.g. Xolotl, Centipede), object-kinetic Monte Carlo or similar. Proven commitment to proactively keeping
-
finite element analysis, finite difference schemes, or Monte Carlo simulations. Mentoring Assist in mentoring graduate and undergraduate students in related projects. Collaborate with faculty and students