The master's specialisation Molecular, Cellular and Organismal Biology at Leiden University examines the molecular mechanisms underlying health and disease and how cells and organisms adapt to environmental factors.

A high performance computer or supercomputer owes its massive processing capacity to the fact that it chops a single overarching task into a whole series of smaller tasks. It simultaneously tackles each of those smaller problems.

We are becoming ever more dependent on automation systems in our daily lives. Computer Science is more than programming; you integrate maths and logic into the development of systems and solutions that can be applied in all fields - from business to healthcare.

Promotor: S.J. Edixhoven, L.D.J. Taelman

Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.

The Leiden Computational Network Science Lab (CNS Lab) researches methods for knowledge discovery from real-world network data.

Met de bachelorspecialisatie Informatica & Economie aan de Universiteit Leiden leer je waardevolle inzichten in de economie te combineren met (programmeer)vaardigheden en kennis uit de informatica.

Research in the Natural Computing and Optimization cluster covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.

The Computer Support group provides dedicated support for the computing infrastructure of Leiden Observatory

Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…

Engineering an efficient microbial enzymatic polyethylene degradation pathway via an innovative combination of biochemistry and computational biology tools for enzyme discovery and characterization.

Steffen Brünle's group investigates G protein-coupled receptors (GPCRs). These essential membrane proteins are prime targets for therapeutic drug development in disease and cancer treatment.

Nature uses a special class of histone proteins, histone variants, to modulate the properties of chromatin at defined genomic locations.

The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.

The master’s specialisation Computer Science and Education at Leiden University prepares students to teach the subject of biology to secondary school students. The programme comprises a one-year Computer Science component, followed by an education component in the second year.

Balsaminaceae is a diverse plant family characterized by a huge floral morphological diversity.

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…

Promotor: Roeland M.H. Merks

Mission: The Environmental Biology department aims to increase the scientific understanding of how current and emerging anthropogenic threats affect biodiversity and ecosystem services. Through this understanding they facilitate strategic management of natural resources by addressing urgent challenges…

High Performance Computing (HPC) is becoming ever more important as a research tool in many research areas across all research domains. A University facility, providing serious computational capabilities, combined with easy and flexible local access, is a strong advantage for these research areas. It…

This dissertation investigates Extended Lexical Units (ELUs), elements that are bigger than just one word and which are stored in the Lexicon.

Neurodegenerative diseases, including Parkinson’s disease (PD), are increasing in prevalence due to the aging population. Despite extensive study, these diseases are still not fully understood and the lack of personalised treatment options that can target the cause of the diseases, rather than the symptoms,…

Large-scale computing infrastructure, such as supercomputers, cluster, and clouds, are already pervasive, most members of our society interact with them daily: social networks, government services, media streaming services--all systems heavily interfacing with the members of our society--are powered…

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…

Leiden Institute of Advanced Computer Science (LIACS)

This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.

Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.

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…

The research described in this thesis centered on retaining exo-β-glucosidases implicated in health and disease, in particular the human inherited lysosomal storage disorder, Gaucher disease (GD).

The availability of complete plant genome sequences together with the ever increasing amount of data on the molecular, cellular and physiological mechanisms of plant development require mathematical and computational models to obtain a complete overview of and generate new insights into the quantitative…

In the master’s specialisation Computer Science and Business Studies, you combine high quality research in Computer Science with training in management and entrepreneurship. You will expand your knowledge of computer science and develop business and organisational skills that are essential to become…

The master’s specialisation Computer Science and Science Communication and Society at Leiden University bridges the gap between experts and the public by combining high quality research in computer science with extensive training in science communication.

MHC class I and MHC class II molecules present peptides to the immune system to drive proper T cell responses. Pharmacological modulation of T-cell responses can offer treatment options for a range of immune-related diseases.

The NEASQC project brings together academic experts and industrial end-users to investigate and develop a new breed of Quantum-enabled applications that can take advantage of NISQ (Noise Intermediate-Scale Quantum) systems in the near future. NEASQC is use-case driven, addressing practical problems…

Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches.

ISBA2025

During embryonic growth, cells proliferate, differentiate, and collectively migrate to form different tissues at the right position and time in the body.

Leading computer scientists from a variety of fields share their expertise and insights. Dive into the minds of these researchers and learn about real-world applications, the future of AI and related technologies and cutting-edge research. From chatbots to cybersecurity, from quantum to children's stories,…

Can the venom of snakes, scorpions and other animals be sources of new antibiotics?

An algorithm is discussed to compute the exponential representation of principal units in a finite extension field F of the p-adic rationals.

The first book ever on information-theoretically secure multiparty computation

Carbohydrates, or sugars, are the most diverse and most abundant biomolecules known. However, the isolation of carbohydrate samples in sufficient amounts and purity is often impractical or even impossible, so the chemical synthesis of glycosides becomes relevant. The glycosylation reaction, in which…

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

Leiden Embedded & Real-time Computing (LERC) is an expert lab and leader in advanced research on embedded and real-time systems and software. The main mission of LERC is by its research to contribute in a highly innovative way to the system-level design of embedded and cyber-physical systems and software…

In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.

Neurodegenerative diseases pose a large medical and societal challenge. The etiology of these diseases is still poorly understood, which makes drug discovery for these diseases difficult.

This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.

There is a need for alternative methods to replace, reduce and refine (3R) animal experimentation. Combining experimental data from high-throughput in vitro studies with in silico modeling is a promising approach to unravel the effect of chemicals on living cells and to gain a better understanding of…