Promotor: Prof. dr. Arnold Tukker & Prof. dr. René Kemp (Maastricht University)

Promotor: Jan van der Greef; Co-promotors: Mei Wang; Eduard van Wijk

Carbon dioxide capture and utilization technologies are necessary to create a truly circular economy. The electrochemical reduction of carbon dioxide to formate is an appealing carbon utilization method as it can be performed at room temperature and pressure, it only requires two electrons, and it has…

The aim of the research presented in this thesis was to develop new methods forchallenging systems in liquid-state NMR using paramagnetic effects generated by thetwo-armed probe CLaNP-5.

Promotor: A. Doelman, Co-promotor: J.D.M. Rademacher

Promotor: P.D. Grünwald

The transition to electric vehicles (EVs) reduces vehicle emissions to combat climate change. EVs raise concerns regarding the production of lithium-ion batteries and related emissions; while batteries can also provide energy storage services for the electricity system.

Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik

Antibiotic resistance, caused by widespread use of antibiotics, leads to bacterial infections that are difficult, if not impossible, to treat and is a major worldwide health concern.

Promotor: A. Kros

Promotor: Prof.dr. W.T.F. den Hollander

Hydrodesulfurization (HDS) is an ubiquitous part of oil refining that ensures that fuels are cleaned of impurities and environment release of pollutants such as SOx and NOx gasses are minimized.

Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe

With tomography it is possible to reconstruct the interior of an object without destroying.

Can we develop a platform for raw materials intelligence?

The research described in this thesis focused on the use of bioorthogonal antigens to investigate immunological processes in antigen presenting cells. Bioorthogonal antigens are antigenic proteins produced through recombinant expression in a methionine auxotrophic E. coli strain.

What physics controls the properties of quantum matter, such as how electrons flow inside high-temperature superconductors? This question has captivated the physics community and industry for decades, in part due to the great technological potential such materials have, but also because they have resisted…

Visualizing the internal structure is a crucial step in acquiring knowledge about the origin, state, and composition of cultural heritage artifacts. Among the most powerful techniques for exposing the interior of cultural heritage objects is computed tomography (CT), a technique that computationally…

Promotor: Prof.dr. E. Smets, M. Stech

In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.

Marco Beijersbergen is benoemd tot een van de 62 fellows van de Netherlands Academy of Engineering (NAE). Met deze fellows benadrukt de NAE het belang van technologische innovatie voor duurzame maatschappelijke verandering. De inauguratie is op 13 november.

Bij Religiewetenschappen in Leiden bestudeer je de vele verschillende aspecten van religie vanuit verschillende wetenschappelijke invalshoeken zoals filosofie, geschiedenis en sociale wetenschappen.

In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.

Promotie

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).

I will give a general introduction to the field of molecular electronics, its history, methods and challenges. I will also introduce the subject of my investigation and provide a brief outlook to the remainder of our thesis.

This course explores international arbitration as one of the most common methods of international dispute settlement. You will gain an in-depth understanding of international arbitration through the analysis of its role as a mechanism of dispute settlement, its institutions, the fields of law it is…

Kunst en vrije tijd, Kunst en vrije tijd

Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.

In this thesis an activity-based probe was discovered that could visualize the activity of PLAATs. With an optimized gel-based ABPP assay in hand, screening of a compound library led to the discovery of alpha-ketoamides as a hit for PLAAT3.

Fungal food spoilage often starts with a contamination with spores. Experimental data strongly indicate the existence of subpopulations of spores with different levels of resistance to preservation methods.

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.

Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'

The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.

The skin is our natural barrier and lipids are a key part of this barrier. In the outer skin layer, the stratum corneum (SC), lipids form a densely organized structure dependent on the composition of these lipids.

The aim of this thesis is to expedite and ensure the systematic accuracy of clearance scaling from adults to paediatric patients, with a special focus on drugs undergoing hepatic metabolism.

The goal of the project is the development of stream mining techniques for complex patterns such as graphs. We will try to extend the existing state-of-the-art techniques into two, orthogonal directions: on the one hand, the mining of more complex patterns in streams, such as sequential patterns and…

Promotor: F.S. de Boer, Co-promotor: M.M. Bonsangue

In order to be able to develop effective medicine and treatments to prevent or cure autoimmune diseases or cancer we need to understand the mechanisms how they arise and what drives their course.Unravelling the fundamental molecular mechanisms influencing the onset and course of diseases such as allergies,…

Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

Possible improvements for the assessment of abiotic depletion in LCA.

The role of material production as a driver of environmental impacts is increasing, which calls for a better understanding of global material flows. This thesis explores the role of in-use stocks of products, buildings and infrastructure as a key driver of global material demand and discusses the implications…

Organic molecules in interstellar space are important as they influence the structure of galaxies and star formations. Studying catalytic processes in space allows us to understand how molecular species are formed and chemically evolved in the interstellar medium and solar system objects.

Promotor: Prof.dr. J.P. Abrahams, Co-Promotor: N.S. Pannu

Promotie