Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…

Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

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

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

Promotor: Roeland M.H. Merks

Description of Biotic ligand models: making an inventory of available models & assessment of the variability of the predicted HC5 using the BLMs in different Dutch water types (2005 - 2007)

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 2016 hebben Universitaire Medische Centra (UMC's) van Nederland de zelfevaluatie-tool ontwikkeld gebaseerd op het PhD Competence Model. Onze partners van de Universiteit Utrecht stellen een digitale versie van de tool kosteloos beschikbaar voor onze promovendi binnen de Universiteit Leiden, ook voor…

Promotor: Prof.dr. E. Deprettere

The aim of this thesis was to develop novel treatment strategies for different types of eye melanoma utilizing zebrafish models. We first establish orthotopic and ectopic xenograft models for uveal and conjunctival melanoma by engraftment of the immortalized cells derived from these tumors into zebrafish…

Promotores: Prof.dr. P.C.W. Hogendoorn & Prof.dr. H.P. Spaink Co-promotor: Dr. B.E. Snaar-Jagalska

Death in all types of melanomas is generally caused by metastasis. Uveal melanoma (UM) is the most common intraocular melanoma, there are currently no (patient-derived) animal models that faithfully recapitulate metastatic dissemination of UM.

This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.

Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system.

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.

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

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

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

The work described in this dissertation contributes to a better mechanistic understanding of nanoparticles in vivo. To achieve that goal, we used the zebrafish as a highly predictive pre-screening model of nanoparticles.

Promotor: Prof.dr. W.J.G.M. Peijnenburg

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

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.

Peter Grunwald

Wiskunde en Natuurwetenschappen, Leiden Academic Centre for Drug Research (LACDR)

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

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.

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)

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.

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…

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

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…

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

Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen Leiden (CML)

Promotor: Prof.dr. J.N. Kok

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

It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.

Promotor: P.D. Grünwald

Promotor: Prof.dr. F. den Hollander, G.Maillard

Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.

In surface science there is great effort to move from studying simple, flat model surfaces in vacuum to investigating more complex model catalysts in gas environments (in situ). This thesis gives three examples of such studies using microscopy and spectroscopy.

The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.