Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Heriot Watt University
- UNIVERSITY OF HELSINKI
- University of New South Wales
- AGH University of Krakow
- Brookhaven Lab
- Forschungszentrum Jülich
- Institute of Physics, Zagreb
- Loyola University
- Massachusetts Institute of Technology
- Nature Careers
- Oak Ridge National Laboratory
- University of California Berkeley
- University of Houston Central Campus
- University of Oxford
- University of Texas at Tyler
- University of Tübingen
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- Western Norway University of Applied Sciences
- 9 more »
- « less
-
Field
-
on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
-
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
-
University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
: variational formulation of neural network learning convergence of Langevin Monte Carlo algorithms Dissemination of research results through participation in scientific conferences, presentations, and
-
working with hierarchical Bayesian models and Markov chain Monte Carlo methods. Previous experience in ecological data analysis is considered as a strength. We seek candidates with the ability to analyze
-
Monte Carlo methods. Previous experience in ecological data analysis is considered as a strength. We seek candidates with the ability to analyze and interpret complex ecological data and a keen interest
-
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
-
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
-
-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
-
coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics, computational fluid dynamics, activation decay codes, kinetic Monte Carlo codes, particle transport
-
, geometric modelling, acoustic signal propagation, Monte Carlo simulation methods, decision theory, uncertainty quantification, machine learning. Applications and areas of key innovation Image analysis