The first book ever on information-theoretically secure multiparty computation

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.

A collection of newly written chapters by various specialists from different disciplines (with a background in philosophy) on the subject of free will as it is discussed in their (inter)disciplinary field.

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

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…

The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.

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…

Promotor: S.J. Edixhoven

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 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 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.

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

Promotor: Prof.dr. J.N. Kok

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

Science, Leiden Academic Centre for Drug Research (LACDR)

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…

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…

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

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.

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

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.

PhD defence

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…

Nonparametric Bayes for high-dimensional models: contraction, credible sets, computations

Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information…

We review the state-of-the-art in the theory of dissociative chemisorption (DC) of small gas phase molecules on metal surfaces, which is important to modeling heterogeneous catalysis for practical reasons, and for achieving an understanding of the wealth of experimental information that exists for this…

Assessing the risks of engineered nanomaterials (ENMs) solely on the basis of experimental assays is time-consuming, resource intensive, and constrained by ethical considerations (such as the principles of the 3Rs of animal testing). The adoption of computational toxicology in this field is a high p…

In science, it is of vital importance that multiple studies corroborate the same result. Researchers therefore need to know all the details of previous experiments in order to implement the procedures as exactly as possible. However, this is becoming a major problem in neuroscience, as animal studies…

Can we use quantum computers in a way that is also relevant to society? With the help of a 2-million-euro NWA grant, Leiden University will work with partners such as Surf, Google and Volkswagen to demonstrate that quantum computers are also of value outside the lab.

The zebrafish is a promising vertebrate model organism in early drug discovery and development.

This study’s main aim is to test whether children’s learning behaviour explains why they do not benefit from a literate environment.