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

Onderzoekers van meer dan 30 landen namen deel in het Europese onderzoeksnetwerk E-READ om de veranderingen in het lezen door digitalisering te bestuderen. Adriaan van der Weel, universitair hoofddocent, sprak over het succes van het netwerk met de Duitse krant Frankfurter Allgemeine Zeitung.

John Boy en zijn collega's van het d12n-onderzoekscluster krijgen een beurs van het Digital Infrastructure Insights Fund D//F.

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

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

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.

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…

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.

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

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

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.

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

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.

We leven in een tijd van steeds snellere en diepere digitalisering. Digitale technologieën bieden enorme kansen voor het genereren, gebruiken, opslaan en overbrengen van informatie. Tegelijkertijd komen een aantal beproefde leesmethoden onder druk te staan. Vier jaar lang heeft een groep wetenschappers,…

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.

Cursus, Summer School

Lezing

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…

The project

Promotor: Jan van der Greef; Co-promotors: Mei Wang; Eduard van Wijk

This thesis applies data mining in commercial settings in the telecommunications industry.

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

Promotor: P.D. Grünwald

This thesis describes how to scale down concepts of macroscopic mechanical metamaterials to the thermal scale using a system of flexibly-linked colloids.

Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe

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

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

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

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.

In this thesis, the focus lies on studying glucocorticoid receptor dynamics in living cells with the aim of understanding how this transcription factor finds its DNA target sites to regulate transcription.

LCA has become an important method to study environmental impacts of human activities. Still, there are several methodological issues in LCA that can adversely affect the results reliability.

Promotor: Prof.dr. E. Smets, M. Stech

Promotor: Prof.dr. T. Hankemeier

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.

Antibiotic resistance, caused by widespread use of antibiotics, leads to bacterial infections that are difficult, if not impossible, to treat and is a major worldwide health concern.

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. J.P. Abrahams, Co-Promotor: N.S. Pannu

The aim of this thesis is to expedite and ensure the systematic accuracy of clearance scaling from adults to paediatric patients, with a special focus on drugs undergoing hepatic metabolism.

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.

Promotor: A. Kros

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…

The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.

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…

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.