This study’s main aim is to test whether children’s learning behaviour explains why they do not benefit from a literate environment.

Begin maart 2020 heeft het Nationaal Regieorgaan Praktijkgericht Onderzoek SIA (Regieorgaan SIA), onderdeel van NWO, een onderzoeksbeurs toegekend aan Daan Weggemans van het Institute of Security and Global Affairs.

Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.

Andrea Cuomo (Ghent University), Baukje van den Berg (Central European University), and Katharina Preindl (Ghent University) are pleased to invite you to the workshop "Teaching and Learning Greek in Byzantium 2: Learning and Using Vocabulary in Byzantium and Beyond" on Friday October 4 at Ghent University…

Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

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.

Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

Ivo Wolsing (Leiden), Jacqueline Burek (George Mason University) and Lottie Thompson (Durham) are organizing a panel on Classical Learning in Medieval Europe at Leeds International Medieval Congress 2025. You are invited to submit an abstract by September 15.

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.

Op 11 en 18 juni organiseert het Centre for Professional Learning (CPL) voor het eerst een twee-daagse online masterclass: De nieuwe Public Affairs Professional - de effectieve beïnvloeder in post-coronatijd. De masterclass wordt eigenlijk twee keer per jaar in Den Haag gegeven, maar is deze editie…

In this work, we attempt to answer the question:

Het onderwijsteam achter The Learning Mindset (TLM) van het Leiden University College heeft 800.000 euro gewonnen tijdens de uitreiking van de Nederlandse Hogeronderwijspremie 2022. Het team eindigde als tweede achter het team van Universiteit Twente. De prijs wordt jaarlijks uitgereikt tijdens het…

Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

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The demand for neodymium-iron-boron (NdFeB) magnets is rapidly growing, while the neodymium supply chain is under pressure. Recycling can alleviate these issues. This thesis investigates the potential for deploying novel magnet recycling technologies and their environmental consequences.

In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…

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'

Voor het eerst trainden studenten hun vaardigheden met behulp van een digitaal platform in Brightspace. Dat bleek een succes: studenten die het platform actief gebruikten, haalden gemiddeld hogere cijfers dan studenten die het minder gebruikten. Maar vooral waren ze zelf enthousiast over hun verworven…

In this thesis, we examine various systems through the lens of several numerical methods.

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

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

In dit artikel onderzoeken Barrie Sander en zijn collega's of eerlijkheid in digitaal bestuur onbedoeld structurele ongelijkheden verankert.

Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone

Leiden University Centre for the Arts in Society (LUCAS) invites applications for a PhD position within the project ‘Libraries as Links in Learning: Making the Meaning of Manuscripts’ (1.0 fte, 4 years). The PhD candidate will track changing professional and scholarly practices and attitudes towards…

Na een veelbelovende eerste test was ook de tweede pilot van het digitale Brightspace skills platform een succes. Maar liefst dertig nieuwe module-hoofdstukken stonden klaar om de derdejaars BFW studenten te ondersteunen met hun eindopdracht. Ondanks de extra uitdagingen die COVID-19 opleverde, haalden…

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In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.

Software development is a complex process. It is important that software products become stable and maintainable assets.

Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.

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.