Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of radionuclides on clay mineral surfaces using DFT Kinetic Monte Carlo simulations with activation energy barriers as input to simulate large-scale interactions of nuclides with surfaces Preparation and
-
-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
-
chemistry, electronic structure (static and dynamic aspects), wave function methods (Coupled Cluster, multi-configurational methods, DMRG), Quantum Monte Carlo, DFT-type methods, Green's function methods
-
qualified women to apply for the position. Project description: You will be responsible for the development of neutron scattering and imaging instruments by numerical calculation and Monte-Carlo ray-tracing
-
population synthesis code. Further develop this code, based on Monte Carlo techniques. Compare results with available observational data of white dwarf stars. Where to apply Website https
-
Position Summary The Quantum Monte Carlo group in the Physics Department at WashU in St. Louis invites applications for one postdoctoral position beginning August 2026. We are interested in
-
Kinetics models - from simplified Point Kinetics to more detailed Space Kinetics approaches – and by integrating high-fidelity neutron physics calculations performed by Monte Carlo methods to generate
-
integration of simulation and AI-based analysis. An analytical Monte Carlo-inspired simulator will optimize system geometry and acquisition parameters, support sensitivity studies, and serve as a forward
-
contact information for at least two (2) professionals in the field who can provide letters of recommendation. Applications must be submitted at this link: https://apply.interfolio.com/178857 . Applications
-
Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
model, both variational estimators and Monte Carlo samplers have been designed and implemented during the pandemic to estimate the reproduction number of the Covid19. The major bottleneck