-
reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
-
(for example, efficient sampling from the Gibbs measure, Markov Chain Monte Carlo methods, etc.). Experience in distributed or parallel computing is a plus, but is not a requirement. The position does not
-
: exact diagonalization, Monte Carlo, and where appropriate, tensor network techniques. The postholder should also have a broad familiarity with the theory of strongly correlated systems and excellent oral
-
apply expertise in techniques such as reflectance spectroscopy and statistical modeling approaches, including Markov chain Monte Carlo methods, to support scientific investigations of planetary
-
. A well-qualified candidate for this position will also possess: Familiarity with QCD theory, heavy ion physics, Monte Carlo event generation techniques. Experience using and developing JETSCAPE event
-
Monte Carlo simulated data, but there is also the possibility of working with real open data from the ATLAS and/or CMS experiments. The methods are general and applicable well beyond particle physics
-
. • Direct experience of using Monte-Carlo-based simulation and optimisation tools. • A proven track record of high-quality research. Candidates are expected to demonstrate: • Ability to work as part of
-
. • Direct experience of using Monte-Carlo-based simulation and optimisation tools. • A proven track record of high-quality research. Candidates are expected to demonstrate: • Ability to work as part of
-
. • Familiarity with vibration data analysis techniques. • Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. • Programming skills in Python, MATLAB, R, or similar
-
of Quantum Monte Carlo (QMCPACK, PYQMC) density functional theory (e.g. QE, VASP, PYSCF) and associated models to describe various properties of DOE-relevant quantum materials. The Materials Theory Group has a