PhD Student in Machine Learning with a Focus on Mathematical and Statistical Methods for Uncertainty Quantification

The PhD position at Uppsala University aims to develop new methods for uncertainty quantification in mathematical and statistical models, particularly applied to large-scale clinical cancer data. Candidates should possess a Master's degree in applied mathematics, statistics, or related fields, along with strong programming skills and a keen interest in mathematical method development. The position is part of the national DDLS program, emphasizing data-driven life sciences.