Hybrid zones occur where two species meet and produce offspring (hybrids). Typically, hybrids show a considerable reduction in fitness. In this thesis two hybrid zones are treated.

This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.

Promotor: C. W. J. Beenakker, Co-promotor: J. K. Asboth

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.

This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.

The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.

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.

The key characteristic of active matter is the motion of an emergent collection (such as a flock of birds), which is driven by the consumption of energy by its active components (i.e. individual birds).

A Josephson junction is a device where a thin insulating barrier or a nanostructure is placed between two superconducting leads. Such a junction is essential to superconducting qubits that store quantum information due to its anharmonic spectrum.

Congres/symposium

Metal complexes and 2D materials like graphene were combined to produce structures that can function as sensors.

Machine Learning is becoming a more and more substantial technology for industry.

To improve cancer treatments, personalized medicine approaches have aimed to identify exactly which mutations are driving tumor development in a given patient and specifically target these mutations using precision therapies.

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich

Indigenous Latin American artifacts have attracted the interest of Europeans since the earliest moment of contact between Europeans and the Indigenous peoples of the Americas. The ERC-funded BECACO project uses an innovative multidisciplinary framework to investigate the provenance of ethnographic and…

Promotor: Prof.dr. B.R. Katzy

In deze studie staat de beheersing van seks en jongeren middels de reactie van met name strafrechtelijke autoriteiten centraal.

The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.

Op 7 februari 2019 verdedigde Helena Ursic-Vrabec haar proefschrift 'Uncontrollable: Data subject rights and the data- driven economy'. Het promotieonderzoek is begeleid door promotor prof. dr. S. van der Hof.

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…

Promotor: H.J.M. de Groot

Een vergelijkende analyse van legitimeringsstrategieën in drie landen: Rusland, Venezuela en de Seychellen.

Prostate cancer (PCa) is one of the most prevalent cancer in males.

In this thesis, we used genetically engineered mouse models and a variety of cell-culture based assays to identify genes and pathways that are involved in the development and treatment of invasive lobular carcinoma (ILC).

Nature uses a special class of histone proteins, histone variants, to modulate the properties of chromatin at defined genomic locations.

Promotor: T. Hankemeier, Co-promotor: R.J. Vreeken

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

This thesis focuses on the development of sample-preparation methods for small amounts of samples and applying the developed methods to muscle tissues to investigate the mechanisms involved in sarcopenia.

This thesis seeks to investigate how cancer-associated mutations affect the pharmacological properties of selected GPCRs—primarily A2AAR and 5-HT2CR—through a combination of ligand binding assays, signaling readouts, kinetic profiling, and cellular functional assays.

From 16 to 19 September 2021 a hybrid conference will take place on animation in the Middle Ages. This conference is a cooperation between the University of Bergen (Norway) and the A. Zelwerowicz National Academy of Dramatic Art in Warsaw, Branch Campus in Bialystok (Poland).

In this project, researchers from computer science, law, psychology, and public administration research in practice how artificial intelligence (AI) can be leveraged to make decision-making in the security domain more effective, while also keeping it safe and accountable.

Triplet superconductivity refers to a condensate of equal-spin Cooper pairs (pairs of electrons with equal spin).

Tuberculosis is a major global health problem caused by the Mycobacterium tuberculosis complex, claiming more than a million lives annually.

Effective policy-making requires understanding what truly causes a problem. Only then can policymakers develop targeted interventions that achieve desired outcomes.

Promotor: C.J. ten Cate, Co-promotor: H.W. Slabbekoorn

Prof.dr. J. Memelink

The studies presented in the work show the potential of the integrative use of biophysical data in defining the structural basis of protein interactions.

Polymyxins are clinically used antibiotics, discovered in mid-20th century. Once abandoned due to excessive nephrotoxicity, they are now used increasingly to address infections caused by multi-drug resistant Gram-negative bacteria.In this thesis, we describe the development and synthesis of analogues…

A sustainable resource management is an essential aspect to satisfy the current human needs without compromising the needs of future generations.

Hybride intelligentie (HI) is de combinatie van menselijke en machinale intelligentie, waarbij het menselijk intellect wordt uitgebreid in plaats van vervangen. HI houdt rekening met de menselijke expertise en intentionaliteit bij het nemen van zinvolle beslissingen en het uitvoeren van passende acties,…

As a virtually inexhaustible source, solar energy plays a major role in future global energy scenarios.

Promotor: P.G.L. Klinkhamer, Co-Promotores: K. Vrieling, P.P.J. Mulder

Promotor: Prof.dr. P.G.L. Klinkhamer, Co-Promotor: T.J. de Jong

Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…