Computers zijn in staat om ongelooflijk nauwkeurige voorspellingen te doen op basis van machine learning. Met andere woorden, deze computers kunnen zonder tussenkomst leren als ze eenmaal door mensen zijn voorgeprogrammeerd. Bij LIACS verkennen en verleggen we de grenzen van wat een revolutionaire nieuwe…

Het merendeel van de wetenschappers, van archeologen tot zoölogen, verzamelt enorme hoeveelheden gegevens. Hun databanken bevatten grote hoeveelheden informatie die voor de mens moeilijk te filteren zijn. Met een stevige basis in de statistiek en de computerwetenschappen kunnen we algoritmes ontwikkelen…

Subproject of the ERC project 'Challenging the Liberal World Order from Within: The Invisible History of the United Nations and the Global South'.

Despite substantial progress in understanding tuberculosis (TB), the eradication of the TB epidemic is still far from reach.

Onderzoekreeks van de Afdeling Economie van de Universiteit Leiden op het raakvlak van economie en recht.

Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.

Over the past years it has been discovered that the population of extra-solar planets is large and diverse.

In dit onderzoek worden orde isomorfismen en orde antimorfisme bestudeerd in het algemene kader van partieel geordende vector ruimten.

This thesis advances automata learning, a key area in computer science, with applications in software verification, biological analysis, and autonomous technologies. It explores three main themes: first, it introduces a passive learning algorithm for generating compact probabilistic models from positive…

We are living in an information era where the amount of image and video data increases exponentially.

Op 12 december promoveert Ria Huijgen-Koolen. Het Leiden University Centre for Linguistics feliciteert Ria!

Promotores: Prof.dr. C.U. Keller, Prof.dr. H.C. Gerritsen

We use DNA strands to stabilize few-atom silver clusters, which show unique optical and chemical properties. This thesis involves the study of these constructs for various applications.

This thesis is about cosmological inflation and its relation to observations.

Forming at the nodes of the Cosmic Web and growing hierarchically via mass accretion, galaxy clusters are the largest virialized halos in our universe, composed of dark matter (DM; ≥85%), ionized hot plasma in the intracluster medium (ICM; ≥10-15%), and galaxies (≥1-5%).

In this thesis, we developed new ways to use a technique called electroextraction (EE) to extract charged molecules from one liquid into another using an electric field.

Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.

The ideas underlying this thesis are that lipidomics may improve the diagnosis of liver metabolic diseases, and can provide further insights into the underlying pathophysiology of these diseases.

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

The challenge of achieving fast quantification in metabolomics is the presence of severe matrix effects during the MS analysis of complex samples.

Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…

Metabolomics is a powerful tool that can provide a comprehensive insight into the complexity of human biology and the pathophysiology of diseases. By analyzing the metabolome, which refers to the complete set of small (endogenous) molecules (with a mass <1500 Da) present within a given biological system,…

Wil je een volledige academische opleiding? Dan ga je na je bachelor door met een masteropleiding. Met een masterdiploma op zak heb je meer kans op een baan op academisch niveau. Na afronding krijg je de titel Master of Arts (MA).

Promotor: Prof.dr. M. Ubbink

Hoe kunnen we onze maatschappij zo inrichten dat de wereld leefbaar blijft voor onszelf en al het andere leven om ons heen? Aan dat vraagstuk werken Leidse wetenschappers samen vanuit allerlei disciplines, van biologie tot datawetenschap en van milieueconomie tot archeologie.

Learning a programming language is challenging. Even one of the first –but crucial– concepts to learn, variables, is hard to grasp. Variables can represent different roles and functions within a code and need to be named appropriately to support code comprehension and debugging.

Het Data Science Onderzoeksprogramma (DSO) combineert Leidse promotieonderzoeken uit allerlei disciplines met data science. Het programma loopt nu ruim twee jaar, en levert verrassende eerste resultaten op. Hieronder vertellen een aantal promovendi over hun ervaringen en hun onderzoek.

Samen met wetenschappers van over de hele wereld streeft de ENIGMA-Anxiety Werkgroep ernaar om meer inzicht te krijgen in de neurobiologische karakteristieken van angststoornissen.

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…

Promotor: Prof.dr. L.J. Slikkerveer

Promotores: H.A. Udo De Haes, P.M. Brakefield

The study of orchid flowers, fruits, and inflorescences is crucial due to the remarkable diversity of orchid species and their unique adaptations to pollinators and seed dispersers. However, our understanding of the evolution and development of these organs within the orchid family remains limited.

This article 'Shaping the European External Action Service and its post-Lisbon crisis management structures: an assessment of the EU High Representatives’ political leadership' assesses the role, influence and core aspects of the EU High Representatives’ (HR/VPs) “political leadership” in the context…

Promotor: Ronald Cramer, Co-promotor: Serge Fehr

This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.

We developed the bitterling as a unique, well-studied model organism in the area of the evolutionary ecology of brood parasitism. The bitterling-mussel relationship, interspecific mussel host preference, and mussel gill structure are studied in detail, to help understand the developmental adaptation…

Global Environmental Extensions Multi-Regional Input-Output (EE-MRIO) analysis is often used to analyze how changes in global and national demand for products lead to socioeconomic and environmental impacts at the national level.