The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

This thesis investigates the evolution and fate of gaseous exoplanets, which are continuously shaped by stellar activity across both short and long timescales.

In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.

Lecture

Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models

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…

Empirical and experimental research focusing on literary, legal, medical and audiovisual translation.

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

Life Sciences Artificial Intelligence Data Science

Musical instruments are multiple things: they are objects but also means of communication; they are technological and also deeply connected to embodiment through the player; and they leave certain cultural traces (Ricoeur 1975/1984). This research project explores how literary texts from the 19th century…

The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

DSE 2.0 concerns research on DSE techniques for complex dCPS

This is an Erasmus+ International Credit Mobility project of Leiden University’s Faculty of Science with University of California.

The AiChemist project (https://aichemist.eu) coordinated by Helmholtz Munich is an Innovative Doctoral Training Network funded through the Marie Skłodowska-Curie Actions (MSCA-DN) within the EU Horizon Research Framework, to the sum of €3 million. It brings together leading experts in AI, chemoinformatics…

Computers are becoming ever more powerful and are taking on more complex tasks. The Leiden Institute of Advanced Computer Science (LIACS) contributes to revolutionary scientific research and applies the latest inventions in the field, offering answers to today’s questions of society.

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.

Through the microcredentials offered by the Faculty Science at Leiden University, you can take individual courses at university level.

The Algorithms and Software Technology (AST) research programme performs fundamental research in the areas of algorithm design and analysis.

Addressing the core novel objective of scalably assessing the impact of possible interventions through counterfactual prediction based on spatio-temporal data.

Promotor: Prof.dr. T.H.W. Bäck

Hass

Read all papers and other types of publication created by the project.

The Ada Lovelace Distinguished Lecture Series brings outstanding computer scientists from around the world to Leiden University. The lecturers will share exciting ideas and results from the forefront of computer science.

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…

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.

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…

The Leiden Computational Network Science Lab (CNS Lab) researches methods for knowledge discovery from real-world network data.

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

The Faculty of Science

At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining,…

Collecting data in sports increased in importance the last few years.

Quantum computing is a novel paradigm for computation, which is nearing real-world impact with the coming generation of limited, but nonetheless powerful quantum devices.

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

Micro-credentials make education for professionals even more accessible. If you follow a module of 3 to 30 EC (European Credits), you receive a micro credential after completing the education program. This digital certificate is recognized by 22 universities of applied sciences and 12 universities.

Lecture