Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek

The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.

To study how planetary systems come into existence we study much younger systems still in formation.

Development of Comprehensive and High-throughput metabolomics techniques and Clinical applications of (pharmaco)metabolomics

More than 5,000 exoplanets have been found over the past couple of decades. These exoplanets show a tremendous diversity, ranging from scorching hot Jupiters, common super-Earths, to widely separated super-Jupiters on the planet/brown dwarf boundary.

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.

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…

There is an urgent need for more physiologically relevant cell culture methods to guide compound selection in pre-clinical stages of the drug development pipeline.

Can chemical safety assessment be improved with zebrafish embryo-based reporter assays?

The reintegration of high profile ex-offenders frequently receives great political and public attention. While this attention, more often than not in the form of negative sentiments, may be understandable from a moral perspective, it raises several important questions: how do such offenders reintegrate…

Outflows are crucially important for the gas budget and evolution of luminous star-forming galaxies and AGNs, with observed mass outflow rates of the same order as the star formation rate. Greater star formation and black hole growth lead to more intense feedback and outflows, resulting in self-regulated…

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

Understanding the formation and evolution of planetary systems is one of the most fundamental challenges in astronomy. To directly image and study young exoplanets and the circumstellar disks they form from, dedicated high-contrast imaging instruments are built.

Promotor: Prof.dr. T. Hankemeier, Co-Promotor: R.J. Vreeken

How can zebrafish research help to understand and fight human cancer?

We organise various activities for high school students and their physics teachers to learn about Astronomy at Leiden University.

A major goal of ABS research is to overcome one of the major bottle-necks in metabolomic research: the lack of a high-throughput infrastructure in which thousands of samples can be processed in a standardized and cost-effective way (max. a few tens of Euro’s per sample for a full metabolome profile).…

We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.

This thesis examines silicon pore optics (SPO), a technology that exploits silicon wafers from the semiconductor industry to create extremely high quality X-ray optics, by studying its manufacturing process, applications, and prospects.

This thesis describes the implementation and on-sky demonstration of high-resolution integral-field spectroscopy for extreme adaptive optics systems that are used to find and characterize exoplanets.

This thesis is devoted to an in-depth examination of the various effects of disorder in the cuprate high-temperature superconductors.

This thesis describes the development and validation of new high-contrast imaging techniques, with the ultimate goal of enabling the next generation of instruments for ELT-class telescopes to directly image Earth-like extra-solar planets orbiting around nearby stars.

As a new vision on food production, the feasibility study on LED light to grow crops with the biological- and chemical evaluation of final products.

Until the 1990s, the only known planets were those in our Solar System. Three decades later, several thousand exoplanets have been discovered orbiting stars other than the Sun, and substantial efforts have been made to explore these strange new worlds through spectroscopic analyses of their atmosphe…

Promotores: Prof.dr. J. Schaye & Prof.dr. C. Steidel (California Institute of Technology)

For present purposes, it is important to distinguish between an early period of settlement, about 6800-6200 BC, and a late period, about 6200-5800 BC, at Tell Sabi Abyad.

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…

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This thesis investigates the relations between metabolism and anatomy through the use of Magnetic Resonance Imaging (MRI).

Promotor: H.J.M. de Groot, Co-Promotor: A. Alia

Promotor: Prof.dr. H.P. Spaink, Co-promotor: Prof. dr. A.H. Meijer

In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.

High throughput microscopy

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

Advancing the understanding of the interaction of light and matter on the single-quantum level is important for near-future quantum technologies but also to answer fundamental questions.

This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).

In this thesis we push the boundaries of high-resolution imaging at radio frequencies between 100 and 200 MHz. Using the International LOFAR Telescope that spans across Europe we achieve sub-arcsecond angular resolution.

Promotor: J.S. Kaastra Co-promotor: E. Constantini

Galaxies in the Universe are distributed along the intricate framework of the Cosmic Web. Groups and clusters of galaxies comprise the densest regions in this network, and therefore, are excellent cosmic laboratories to study different aspects of galaxy evolution in extreme environments.

How do humans control their thoughts and actions, and what can high-field brain scanning reveal about the underlying processes?

Transcutaneous vagus nerve stimulation (tVNS) was tested in chronic worriers. tVNS may reduce spontaneously occurring negative thought intrusions. After a worry induction, there was no longer an effect of tVNS. tVNS did not affect physiological responding to worrying.

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…

Liposomes hold great promise for peptide-based personalized cancer vaccination, especially when administered intradermally. However, current liposome preparation methods are very time consuming (resulting in long development times per formulation), whereas personalized cancer vaccination requires very…

Promotor: Prof.dr. E.F. van Dishoeck, Co-Promotor: G.J. Herczeg

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…