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…

Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.

The molecular mechanisms that instigate a healthy cell to become malignant are fueled by (epi)genetic alterations in so-called driver genes.

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

Chemical reactions go hand-in-hand with an energy exchange with the environment in which they take place. Surfaces offer a variety of energy dissipation channels, constituted by the nuclear and electronic degrees of freedom of the atoms at the interface. Aiming at an improved future harvesting of energy,…

Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke

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…

Promotor: M. Ubbink, Co-promotor: G. Siegal

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

This thesis describes the use of the evolutionary approach in the study of language change, aiming to provide a better insight in the mechanisms that play a role in language change and to validate this approach in the field of language change.

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis

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…

Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.

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: Prof.dr. B. van de Water, Co-promotor: L.S. Price

Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.

Peter Grunwald

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

Promotor: S.J. Edixhoven

ASLU 14

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.

From surface science towards industrial practice using high-pressure scanning tunneling microscopy.

Promotor: Prof.dr. W.J.G.M. Peijnenburg, Co-promotor: Dr. ing. M.G. Vijver

In this research project child language phonology is studied from the perspective of a psycholinguistic speech-production model and this model is in turn studied from the perspective of developmental phonology.

A research agenda

The Agent Based Modelling for Archaeologists (ABMA) project is dedicated to developing Open Educational Resources (OERs) and accompanying materials for agent-based modelling (ABM) in Archaeology.

Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.

Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.

Lysosomal storage disorders (LSDs) are a group of orphan diseases characterized by lysosomal dysfunction or impaired lysosomal catabolism and affect collectively about 1 in 5000 live births.

In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development.

Decarbonizing the building stock is critical for realizing the climate-neutral target for the Netherlands.

Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen

Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.

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…

Accurate prediction of the unbound drug concentration-time profile at the CNS target site is crucial for the assessment of the right drug concentration-effect relationship. PBPK models have supported the PK prediction of the CNS target sites and the translation of PK data between species and between…

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.

The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.

The aim of this project is to explore the use of statistical interaction models to quantify cross-omics and omics-drug interactions in large-scale clinical and experimental datasets

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.

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.

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

Promotor: Prof. dr. A.G.G.M. Tielens

PhD defence

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.

How might we include circularity into the models often used in IPCC reporting (in technical language, how can IAMs, dMFA models and CGE models be integrated?) What are possible futures for global resource use and what are the consequences for greenhouse gas emissions in these scenarios?