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.

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

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

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.

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.

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

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

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

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…

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, 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.

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

Promotor: Prof.dr. T. Hankemeier

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.

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.

Promotor: A. Kros

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.

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

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

Promotor: P.D. Grünwald

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

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

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

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…

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

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…

Hydrodesulfurization (HDS) is an ubiquitous part of oil refining that ensures that fuels are cleaned of impurities and environment release of pollutants such as SOx and NOx gasses are minimized.

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

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

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.

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

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