Conference

Cancer is the leading cause of death in the Netherlands, and, with over 100 different types of cancer, it’s not a simple disease. Today, skin, breast, lung, prostate and colon cancer are the most diagnosed forms. Therefore, the discovery and development of new drugs has the ability to significantly…

In this special edition of Information Polity there is a focus on the transparency challenges of using algorithms in government in decision-making procedures at the macro-, meso-, and micro-levels.

The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

You gain a strong foundation in computer science, combined with knowledge of machine learning, cognitive science, human-robot interaction. You will learn to develop and program systems based on knowledge of the human brain.

The project XAIPre (pronounce “Xyper”) aims to develop predictive maintenance system for the maritime industry using sensor technology and artificial intelligence. The project aims at developing Explainable Predictive Maintenance (XPdM) algorithms that do not only provide the engineers with a prediction…

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…

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

In the week of July 1st - 5th there will be a summer school on "Data science for dynamical systems" at the Lorentz Center in Leiden.

The miniaturization of machines towards the micron and nanoscale requires the development of joint-like elements that enable and constrain motion. We developed a facile method to create colloidal joints, that is, anisotropic colloidal particles functionalized with surface mobile DNA linkers that control…

Does the δ-machine have higher accuracy than the other feature-based classifiers in some conditions?

Multi-Angle Dynamic Light Scattering (MADLS) is a technique that is used to determine properties of particles in suspension. The measurements give the hydrodynamic size distribution of individual particles as well as particle clusters, and assists in the interpretation of the stability of the particles…

How digital technologies affect the way we conceive of the self and its relation to the world, considered through the lens of media art practices.

The results of the investigations by citizens are used in an innovative research project that investigates the potential of machine learning and automated detection in archaeology.

As a scientific partner, the Sport Data Center offers (sports) organisations a wide range of services.

We study cell-fate decision-making using embryonic stem cells as a model system. Stem cells integrate a large number of cues to direct their development into a great variety of cell types.

Lecture, Research Seminar Europe 1000-1800

Lecture, Open Minded

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PhD defence

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PhD defence

PhD defence

PhD defence

In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.

Can the pink-pigmented microbe Methylobacterium extorquens be genetically engineered to convert the sustainable raw material methanol into antibiotics?

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

The two-year Data Science: Computer Science programme consists of 120 European Credit Transfer System (EC) points and includes courses and electives as well as a Master's Thesis Research Project.

The two-year Bioinformatics programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.

The programme focuses on six learning trajectories: computational thinking, mathematical skills, basis AI, intelligent systems, cognition, and research skills.

Leiden University uses enormous amounts of disposable cups every day.

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

Conference

Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…

The Computer Systems, Imagery & media (CSI) research programme performs research on methods and techniques for the design, implementation and application of advanced computer systems, in particular parallel, distributed and embedded computer systems.

Data Science

The Leiden Institute of Advanced Computer Science (LIACS) offers bachelor and master level education in computer science at Leiden University. We are known for our scientifically based education and for our open atmosphere.

The specialisation combines one year of Computer Science research (60 – 80 EC) with one year of science communication courses, internships and research (40-60 EC).

The Bachelor's degree trains future computer scientists in the fields of Data Science and Artificial Intelligence. When you graduate you will be ready for a range of career options.

The two-year Artificial Intelligence programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.

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

The Division of Systems Pharmacology and Pharmacy (SPP) aims to develop precision medicine approaches to characterize and predict variation in treatment response and enhance translational drug development strategies.

The programme guarantees a thorough experience on the frontlines of physics research AND data science. It focuses on research areas where these fields overlap and in the process provides practical training of communicative and computer skills.

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

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