Doktorand i beräkningsvetenskap
Core
Research in computational science focusing on developing computational and data-driven methods for epidemiological modeling and analysis.
Role type
PhD researcher (Postdoc)
Builds
Stochastic models and Bayesian methods combining epidemiological models with various data types.
Domain
Epidemiology, Computational Science, Statistics, Machine Learning
Deliverable
production ML models
Required skills
Mathematical modeling, Statistics, Computational methods, Scientific programming, English (fluent)
Preferred skills
Bayesian statistics, Stochastic modeling, Machine learning (neural networks), Epidemiological modeling, Mathematical optimization, Game theory
Technologies
Matlab, Python, R, C, C++
