Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft

Promotores: W. Th. F. den Hollander, M.O. Heydenreich

This dissertation consists of two parts, with the common theme

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

In my research, we developed a method to distinguish knots. A knot is a mathematical depiction of the everyday knot that occurs in ropes and cords.

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

This study’s main aim is to test whether children’s learning behaviour explains why they do not benefit from a literate environment.

Discover "Meta Analysis" at Boerhaave Nascholing. Explore risk analysis, models, and advanced topics. Elevate your understanding. Read more here.

The prevalence of obesity (BMI >40 kg/m2) has increased rapidly over the recent years, not only in adults, but also in children and adolescents.

The haplolepideous mosses (Dicranidae) comprise about 4000 species distributed over a wide range of habitats, with great gametophytic and sporophytic morphological variation. Their monophyly is well supported by the results of several molecular phylogenetic studies, which shed light on their relationships…

Promotor: S.M. Verduyn Lunel, Co-promotor: S.C. Hille

Promotor: Prof.dr. B. van de Water

This PhD thesis concerns the topic of arithmetic geometry. We address three different questions and each of the questions in some way is about counting how big some set is or can be.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

I have studied the hot, diffuse gas around and between galaxies. Specifically, I have used the EAGLE numerical simulations of galaxy formation to predict the properties of this gas, and I have used those properties to predict specific observables: soft X-ray absorption and emission lines.

The main subject of this thesis is the design and synthesis of paramagnetic molecules for protein studies with NMR and EPR spectroscopy.

What physics controls the properties of quantum matter, such as how electrons flow inside high-temperature superconductors? This question has captivated the physics community and industry for decades, in part due to the great technological potential such materials have, but also because they have resisted…

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Promotores: R. Tijdeman, K.J. Batenburg

Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…

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The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.

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Promotie

Healthcare Information Systems (HIS) are essential for modern healthcare delivery, yet their development faces significant challenges including heterogeneous data formats, regulatory compliance, and the growing demand for AI-driven decision support.

Promotores: Prof.dr. J. Zaanen, Prof.dr. K.E. Schalm

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)

Mechanical metamaterials are man-made materials which derive their unusual properties from their structure rather than their composition.

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…

Improvements of weak gravitational lensing shape measurements are presented and some used for data analysis.

De pas gepromoveerde Hao Wang van het Leiden Institute of Advanced Computer Science leert computers hoe je problemen in het dagelijks leven kunt oplossen. Zijn doel is om het proces van probleemoplossing efficiënter te maken. Op 1 november promoveerde hij met het predicaat cum laude. ‘Ik hoop moeilijke…

Promotor: A.W. van der Vaart

Statistical distributions in LCA and converting between different representations of these distributions.

Promotor: Prof.dr. P. Stevenhagen, Co-Promotor: J.H. Evertse

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The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.

The Economics and Governance specialisation of the Master in Public Administration teaches you to formulate problem-solving approaches to concrete policy issues found at the intersection between economics and public administration. This specialisation is a unique joint offering of the Department of…

Electrons in a crystal lattice have properties that may differ from those of a free electron in vacuum.

Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.

Studievoorlichting

Make more fluid: In condensed matter systems, electrons can acquire unusual properties from their interaction with the atomic lattice.

n this thesis we study curves. In the first half, we study moduli spaces of curves and Gromov-Witten invariants, certain kinds of curves counts. We employ logarithmic geometry for this.

A neurocognitive investigation of the development of social performance monitoring in youth growing up in stressful versus non-stressful environments

The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.

The research presented in this thesis concerns one of the most important questions in software engineering of our time: how can we make sure that software is free from memory safety bugs?