Promotores: Prof.dr. J. Zaanen & Prof.dr. K.E. Schalm

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.

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…

Leiden Institute of Advanced Computer Science (LIACS)

Promotor: Roeland M.H. Merks

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…

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…

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

The goal of the MODOMA-project is to create a computer model of language acquisition.

LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.

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.

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.

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

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.

In this research group, led by Dr. Joost Beltman, the aim is to employ mathematical and computational dynamical modelling approaches in order to quantitatively and mechanistically understand the dynamical behaviour and regulation of intracellular networks of genes, proteins and metabolites as well as…

Digital technology is changing academia and society at lightning speed. LIACS is in the midst of this with groundbreaking research into data processing and artificial intelligence (AI). It conducts a unique combination of fundamental and applied research into major issues facing academia and society…

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…

The project aims to develop an escape room-style game to teach students cyber crisis management and prepare them for real-world cybersecurity challenges

Promotor: S.J. Edixhoven

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…

At the annual World Computer Chess Championship, chess computers from all over the world compete with each other. This year, Leiden University hosted the event.

Machine learning - on classical computers- has made great progress in the past five years. Computer translation of speech and text is just one example. In Leiden, some researchers expect that machine learning, empowered by quantum systems, even if they only contain a few dozen qubits, can lead to a…

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.

In this project we study the properties of statistical- and rule-learning mechanisms in relation to the acquisition and evolution of language. We ask to what extent these mechanisms are unique to humans - or to human language - by comparing the acquisition of vocal structure in two species: humans (infants)…

In the current global context, there is a pressing need to address sustainable energy supplies to safeguard our Planet and its ecosystems. The choices made by human society have a significant impact on genetic evolution and climate.

Simulations of galaxies help researchers understand astronomical observations better. The EAGLE simulation, a large project in which Leiden astronomers play a leading role, shows the evolution of the Universe, from just after the Big Bang to the present day.

Promotor: C.W.J. Beenakker, Co-Promotor: A.R. Akhmerov

In the traditional theory of linear elasticity, superposition dictates that the response of a material does not depend on the sequence of the applied mechanical actuations.

Promotor: Prof.dr. J.N. Kok

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…

Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.

This thesis proposes multiple paths towards the development of a performance practice in Computer Music.

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

The Minor Computational Approaches to Disease, Signaling and Drug Targets (CADSDT) is focused on fundamental scientific research required for discovery of new drug targets and development of new drugs.

In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.

Accelerating the diagnosis and personalising the management of inherited metabolic diseases.

Science, Leiden Institute of Chemistry (LIC)

The long-held desire - to link structure directly to function and to explain molecular mechanisms based on basic chemical or physical principles - is finally coming closer, satisfying not only our scientific curiosity but also offering new solutions to the many challenges in the field of health, energy…