Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Chalmers University of Technology
- ; Newcastle University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Babes-Bolyai University
- Basque Center for Applied Mathematics
- Chalmers tekniska högskola
- Cranfield University
- ETH Zürich
- Monash University
- Nature Careers
- Newcastle University;
- Umeå University
- University of Antwerp
- University of Newcastle
- University of Trás-os-Montes and Alto Douro
- 6 more »
- « less
-
Field
-
Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
-
experience Skills in using GEANT4/ Python/ LaTeX/ C++/ ROOT(CERN)/ Linux/ Monte Carlo simulation LanguagesROMANIANLevelExcellent LanguagesENGLISHLevelExcellent Research FieldPhysicsYears of Research
-
. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
-
inference and/or Monte Carlo methods. The numerical solution of partial differential equations. The initial contract duration will be of 1 year with ample possibilities for renewal. Our hope is to later on
-
experimental approaches, with theoretical activities focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics
-
focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics. Theoretical spectroscopy By combining quantum mechanical
-
expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront
-
– Carlos Alberto e Silva Venâncio, Assistant Professor at the University of Trás-os-Montes and Alto Douro; Effective Member – Paulo José Pinto Rema, Associate Professor with aggregation from the University
-
of the Monte Carlo simulations required to generate the training datasets. At LOA, the candidate will have access to appropriate research infrastructure. This position falls within the scope of the Protection
-
the reach of traditional molecular simulations. Therefore, this project will apply adaptive kinetic Monte Carlo simulations to model zeolite formation as a dynamic network of growing and dissolving clusters