Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- University of Oxford
- Argonne
- Durham University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Instituto Politécnico de Bragança
- Jagiellonian University
- KINGS COLLEGE LONDON
- Loyola University
- Oak Ridge National Laboratory
- South Dakota Mines
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published yesterday
- University of California Berkeley
- University of Minnesota
- University of Texas at Tyler
- Virginia Tech
- 7 more »
- « less
-
Field
-
. The project will involve theoretical or modelling work relating to high energy astrophysics and black hole accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo
-
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
-
characterization with advanced computational chemistry tools, including molecular dynamics, density functional theory and Grand Canonical Monte Carlo simulations. Position Requirements A recent or soon-to-be
-
duties will include proposing, preparing, and conducting Monte Carlo simulations of meson production reactions and multi-pion background processes. The candidate will also be directly involved in future
-
, electroweak and Higgs physics, flavour physics, model building, Monte Carlo simulations, precision standard model physics, neutrino physics, particle astrophysics, strong interactions and novel computational
-
period of up to 12 months in the first instance, with the possibility of an extension, subject to funding. The project entails the development of a kinetic Monte Carlo (KMC) framework for the simulation
-
nuclear physics detectors. Experience analyzing data from high energy or nuclear physics experiments. Familiarity with Monte Carlo simulations. Familiarity with machine learning techniques. About the
-
: proficiency in Monte Carlo simulation codes, such as GEANT 4 or PENELOPE. Bayesian statistics. • Laser polarisation system: appetite for experimental physics, experience with lasers not required but would be a
-
. • Familiarity with vibration data analysis techniques. • Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. • Programming skills in Python, MATLAB, R, or similar
-
reactor physics (neutronics, etc.) - Be proficient in using Monte Carlo-type neutronics codes - Be able to work in a team within the context of varied collaborations - Be experienced in software development