In some condensed matter systems, such as the surface of a 3D topological insulator, the electrons are effectively massless and we must necessarily use the massless Dirac equation to describe them.

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.

Promotor: Thomas Hankemeier, Co-promotores: Heiko van der Linden, Paul Vulto

In the first part of this thesis we study the geometry of folding patterns.

Gorlaeus Gebouw, Einsteinweg 55, 2333 CC, Leiden

Wijnhaven, Turfmarkt 99, 2511 DP, Den Haag

FSW-gebouw, Wassenaarseweg 52, 2333 AK, Leiden

Lipsius, Cleveringaplaats 1, 2311 BD, Leiden

Oude UB, Rapenburg 70, 2311 EZ, Leiden

Kamerlingh Onnes Gebouw, Steenschuur 25, 2311 ES, Leiden

Culturele Antropologie en Ontwikkelingssociologie in Leiden biedt een unieke, studentgerichte benadering binnen een internationaal erkende faculteit. Ons programma onderscheidt zich door de balans tussen theoretische verdieping en praktijkervaring.

This thesis covers various applications of topology in condensed matter physics and quantum information.

Lipid signaling is an essential biological event/process in a plethora of pathophysiological conditions. The underlying idea of this thesis is that many of the roles and the complex interplay of the individual signaling lipids in inflammatory processes and related conditions in health and disease is…

Freshwater biodiversity has been threatened by eutrophication due to excessive nutrients in the environment. Releasing the freshwater species from such pressures requires efforts from industry and manufacturers to avoid emissions to vulnerable and high-risk regions.

This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.

This thesis describes the use of an activity-based proteomics method to study the endocannabinoid system.

This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.

In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.

Teaching the Future: AI-Enhanced Education for Student Engagement and Ethical Learning.

The main theme of this thesis is the theoretical study of Gaussian processes as a tool in Bayesian nonparametric statistics.

In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.

CML-IA is a database that contains characterisation factors for life cycle impact assessment (LCIA) and is easily read by the CMLCA software program.

Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.

The project

In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…

In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.

Promotores: Prof.dr. F.S. de Boer, Prof.dr. J.J.M.M. Rutten (Radboud Universiteit Nijmegen)

Promotor: Prof. dr. Arnold Tukker & Prof. dr. René Kemp (Maastricht University)

Promotor: Prof.dr. A.W. van der Vaart

Advanced mass spectrometry of glycosphingolipids takes the central stage in this thesis. Investigations focus on characterization of glycosphingolipid metabolism in health and disease with emphasis to the detection and accurate quantitation of known and so far unknown glycosphingolipids and closely…

Supervisor: S.F. Portegies Zwart Co-Supervisor: A.G.A. Brown

In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.

The transition to electric vehicles (EVs) reduces vehicle emissions to combat climate change. EVs raise concerns regarding the production of lithium-ion batteries and related emissions; while batteries can also provide energy storage services for the electricity system.

Promotor: Prof.dr. W.T.F. den Hollander

Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik

Understanding interactions in quantum many-body systems remains one of the most profound and difficult challenges in condensed matter physics.

The role of material production as a driver of environmental impacts is increasing, which calls for a better understanding of global material flows. This thesis explores the role of in-use stocks of products, buildings and infrastructure as a key driver of global material demand and discusses the implications…

The skin is our natural barrier and lipids are a key part of this barrier. In the outer skin layer, the stratum corneum (SC), lipids form a densely organized structure dependent on the composition of these lipids.

Principles of Environmental Sciences provides a comprehensive picture of the principles, concepts and methods that are applicable to problems originating from the interaction between the living and non-living environment and mankind. Both the analysis of such problems and the way solutions to environmental…

The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.

Developing new medicines is one of modern science's most significant hurdles, a process marked by high costs, long timelines, and frequent failures of promising candidates.

We study the interplay of topology and geometry with chirality for several passive and active systems, employing both analytical and numerical methods.

The research described in this thesis focused on the use of bioorthogonal antigens to investigate immunological processes in antigen presenting cells. Bioorthogonal antigens are antigenic proteins produced through recombinant expression in a methionine auxotrophic E. coli strain.

With tomography it is possible to reconstruct the interior of an object without destroying.

Organic molecules in interstellar space are important as they influence the structure of galaxies and star formations. Studying catalytic processes in space allows us to understand how molecular species are formed and chemically evolved in the interstellar medium and solar system objects.

In this thesis we investigate cosmology and the large scale structure of the Universe using cosmological simulations.

Promotor: P.D. Grünwald