Developing computational algorithms for structural biology -A high resolution, three dimensional view of a molecule provides detailed information that help elucidate its function: by knowing the exact arrangement of atoms in a molecule, we can understand disease, develop drugs to combat them and improve…

Interactive exploration of large volumes of data is increasingly common, as data scientists attempt to extract interesting information from large opaque data sets. This scenario presents a difficult challenge for traditional database systems, as (1) nothing is known about the query workload in advance,…

This thesis addresses the problem of designing performance and energy efficient embedded streaming systems, that is, systems which process a stream of input data coming from the environment and generate a stream of output data going into the environment.

Aim: To develop and enable application of a practical, flexible, user-friendly platform to provide the scientific community with a tool to generate land surface products and its associated uncertainties and exploit these for data-intensive science.

Lecture

The Leiden LIS Sectoral Income Inequality Dataset, assembled by Chen Wang, Stefan Thewissen and Olaf van Vliet (Version 1.1, March 2014), contains information on multiple indicators of earnings inequality and employment within 9 sectors and 12 subsectors, drawing upon micro data from Luxembourg Income…

Research into the development of privacy-friendly care games for children.

The Faculty of Medicine

The Institute CADS adheres to and teaches an approach to research ethics and integrity that emphasizes the processual nature of informed consent, situational ethics, and the indispensability of continually updating the ethical tradition in international anthropology in all the work of its researchers…

As a PhD candidate, you are expected to follow certain courses and training programmes in the context of your training as a researcher. The courses and training programmes will help you conduct your research, write your dissertation, develop your career, and gain self-insight. The LACDR PhD training…

This interdisciplinary project applies data science techniques to qualitatively and quantitatively visualize the interaction between the University and the city of Leiden (Town&Gown) from 1575 onwards. One of the possible angles for follow-up research is diversity, especially from the international…

NL-BioImaging AM is a distributed research infrastructure aimed at promoting progress in the most cutting edge microscopy technologies and providing open access to these technologies to a broad community of academic and industrial users. All Netherlands bio(medical) microscopy centers participate.

Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…

Over the past decade, several novel types of spatially resolved

This thesis develops a method for direction dependent calibration of the ionosphere in radio interferometric data.

The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.

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…

The master’s specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.

Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…

In order to analyze the challenges linked to data use in the context of nexus governance, Giest & Mukherjee use a policy design lens and more specifically the perspective of organizational policy instruments to look at the Mediterranean region.

PHM offers you the tools to navigate through, and give direction to, the complex and changing health care landscape by using an interdisciplinary approach. Become the broker to improve health and societal outcomes for citizens and patients.

Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.

The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.

This programme is aimed at students who have a strong interest in programming and computer science, as well as an interest in the cognitive psychology and artificial intelligence.

With an ever-increasing amount of data generated worldwide, industry, governments and academia highly welcome professionals with specific knowledge and skills to handle big data.

Taxonomy as a science has accumulated data and knowledge for more than 250 years.

With a Master of Statistics & Data Science you have good job perspectives: statisticians and data scientists are highly sought after in various industries such as food and pharmaceutic industry, in governmental organizations, and in healthcare. Qualification to become a PhD candidate is a definite…

Read more about our staff here.

Knowledge on how to adjust a drug dose in special patient populations such as (prematurely born) neonates or children, obese individuals or critically-ill patients, is not only crucial for novel compounds, but also for existing drugs which are often used in an off-label manner in these special patient…

Statistics & Data Science is highly multidisciplinary. Within the programme we offer you a unique combination of knowledge and expertise through close collaboration.

Digital technology is changing academia and society at lightning speed. LIACS is in the midst of this with groundbreaking research into data processing and artificial intelligence (AI). It conducts a unique combination of fundamental and applied research into major issues facing academia and society…

On this page you will find a collection of presentations and videos of the Florence Nightingale Colloquia, seminars at the faculty and other event recordings hosted by the Data Science Research Programme.

Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.

Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

Here you'll find selected publications and media attention from our group.

This PhD project develops and applies a GIS procedure to use legacy survey data in settlement pattern analysis. As part of the research by the LERC project (NWO, Leiden University, KNIR), legacy data produced by surveys in central and southern Italy are examined in a comparative framework to investigate…

Leiden LIS Budget Incidence Fiscal Redistribution Dataset on Relative Income Poverty Rates (2019), assembled by Koen Caminada and Jinxian Wang (Version 1, February 2019), presents the disentanglement of relative income poverty measurers and the anti-poverty effects of social transfers and income taxes…

The Data Science Research Programme at Leiden University combines data science with PhD projects in a wide range of disciplines. The programme has been running for over two years, and is producing the first astonishing results. A number of PhD candidates talk about their experiences and research bel…

The Centre for Digital Heritage undertakes collaborative international research in the field of Digital Heritage. It is an initiative of the University of York.

Dishoeck

Source: J Cheminform, Volume 6, Issue 1 (2014)

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…

The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.

This project aims at providing a broad perspective of the state of Science Technology and Innovation (STI) in Africa with a focus on global funding flows, in order to inform research funders in the continent, in particular those participating in the Science Granting Councils Initiative (SGCI). The project…

Drug-related homicide (DRH) has the potential to act as a valuable indicator of wider drug-related crime. Yet DRH remains a knowledge gap within this broader field of study.