Utrecht University Student Theses Repository
The theses platform Utrecht University Student Theses Repository gives access to Open Access theses that have been published in the past fifteen years by students from Utrecht University and the University Medical Center Utrecht. The theses can also be found in international search engines such as WorldCat and Google (Scholar).
Theses will remain publicly available for a fifteen-year period. Please note: this is also true for theses which were publicly available before September 2021. After fifteen years they are automatically taken offline. You will find a manual on how to search for theses on this page.
Recently Added
-
Changing the Narrative on Resilience: A feminist critique of resilience as applied to gender-based violence in Kibera
(2025)This thesis offers a feminist critique of how resilience is framed by organisations in relation to the experiences of women facing gender-based violence (GBV) in Kibera, Nairobi. Although resilience is often celebrated in ... -
Measuring depth-dependent timing differences in the cortex - Laminar fMRI acquisition and analysis strategies
(2025)Laminar fMRI enables non-invasive studying of hemodynamics arising from changes in neuronal activity across depth. This technique also holds the potential to study submillimeter-scale processing and the direction of ... -
From System Model to Practical Feasibility: Delivering 35% Renewables in Guanajuato’s Electricity System
(2025)This thesis investigates how a spatially explicit energy system model can guide the deployment of renewable electricity in the Mexican state of Guanajuato and contribute to achieving the 35% target set out in national ... -
Improving Wafer Table Swap Classification in Lithography Systems Using Positive And Unlabeled Learning
(2025)When a wafer table (WT), due to wear and tear, is no longer able to meet the operational criteria, it must be swapped for a new replacement table. These swaps are performed at the semiconductor fabs of ASML’s customers. ... -
Predicting post operative Major Adverse Cardiovascular Events (MACE) with hybrid AI models that combines data driven AI with ontology-based reasoning
(2025)This thesis presents a method for predicting Major Adverse Cardiovascular Events (MACE). The approach combines two worlds: data-driven machine learning and knowledge-based reasoning. The core model is a classifier that ...