Applied Research Associate
- Location
- Oxford, England, United Kingdom
ditsandGaussian units within optimisation frameworks to improve convergence and solution quality. DevelopBoltzmann machinesandBayesian learning frameworks specifically geared toward causal and explainable AI, ensuring transparency in complex model outputs. Continuous improvement of automated parameter prediction system, creating self-optimising loops that allow the submission script to adapt to problem‐specific landscapes … related field. Familiarity with probabilistic algorithms, ideally also having implemented MCMC methods, Gibbs sampling, and energy‐based models. Familiarity with Bayesian inference, Causal AI, and the mathematical foundations of Boltzmann machines. Ability to review Python code and translate algorithms into hardware‐agnostic pseudo‐code. Nice to have: Experience with hardware ...