Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Sheffield
- ;
- Nature Careers
- University of Birmingham
- University of New South Wales
- University of Oslo
- ; Newcastle University
- Brookhaven Lab
- Chalmers University of Technology
- Columbia University
- Heriot Watt University
- University of Houston Central Campus
- Cranfield University
- ETH Zurich
- Forschungszentrum Jülich
- Lamar University
- Loyola University
- MASARYK UNIVERSITY
- McGill University
- Monash University
- Nanyang Technological University
- Princeton University
- The University of Queensland
- Umeå University
- University of California
- University of California, San Diego
- University of Illinois at Urbana Champaign
- University of Tennessee at Chattanooga
- University of Texas Health Science Center San Antonio
- University of Tübingen
- University of Waterloo
- Western Norway University of Applied Sciences
- 22 more »
- « less
-
Field
-
-resolution dosimeter, and new algorithms. Following this, the candidate will parameterize a Monte Carlo-based dose calculation system (e.g., GATE, TOPAS, or Geant4-based simulation tools) for evaluation in
-
energy nuclear recoil signals would be an advantage. The post-holder will also be expected to contribute to the production of Monte Carlo simulation samples for the experiment. The post is available from 1
-
Monte Carlo simulations of detector configurations and beam interaction. Execution of hands-on laboratory work, including test beam experiments, small-scale detector repairs, and electronics
-
to the instrument development of SPHERES to meet future experimental challenges Develop novel polarization analysis components for the backscattering spectrometer by performing Monte-Carlo simulations and neutron
-
variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
-
critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
-
for this role include: Conduct research in the area of High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team, including
-
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
-
collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures
-
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