3,652 search results for “data” in the Public website
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About the programme
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.
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Science
The Faculty of Science
- Science (Wis- en Natuurwetenschappen)
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Linking University, City and Diversity
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…
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NL-BioImaging AM
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.
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Computational Drug Discovery
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…
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Mortality and HyperImage: Visual analytics techniques for biomarker discovery in massive 3D-omics datasets
Over the past decade, several novel types of spatially resolved
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Dancing with the Stars
This thesis develops a method for direction dependent calibration of the ionosphere in radio interferometric data.
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Reliable and Fair Machine Learning for Risk Assessment
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.
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Learning from small samples
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…
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Pascal chair 2023
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…
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Evidence integration for coherent nexus policy design: a Mediterranean perspective on managing water-energy interactions
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.
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Digital Archaeology
Digital Archaeology is concerned with digital data for for archaeological research, and the computational methods and tools required to collect, analyse and manage it.
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Artificial Intelligence (MSc)
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.
- Practical Information
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Visual Relation extraction Based on Deep Cross-media Transfer Network
Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.
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Integrative taxonomy of araneomorph spiders: Breathing new life into an old science
Taxonomy as a science has accumulated data and knowledge for more than 250 years.
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Research
The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.
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Programme structure
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.
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Career prospects
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.
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eLaw - Center for Law and Digital Technologies
The Center studies the social, legal and normative impact of emerging digital technologies.
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Career prospects
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…
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Team
Read more about our staff here.
- About this minor
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Research
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…
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Why Leiden University?
Statistics & Data Science is highly multidisciplinary. Within the programme we offer you a unique combination of knowledge and expertise through close collaboration.
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Leiden Institute of Advanced Computer Science
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…
- Programme
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Webinars
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.
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Scientific computing for Drug Discovery in Python and/or R
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.
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New Methods for (f)MRI Analysis
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.
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Publications and output
Here you'll find selected publications and media attention from our group.
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Spatial patterns in landscape archaeology
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…
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Budget Incidence Fiscal Redistribution Dataset on Relative Income Poverty Rates
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…
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PhD candidates in their own words
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…
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Centre for Digital Heritage (CDH)
The Centre for Digital Heritage undertakes collaborative international research in the field of Digital Heritage. It is an initiative of the University of York.
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Astrochemistry and the Origin of Planetary Systems
Dishoeck
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A document classifier for medicinal chemistry publications trained on the ChEMBL corpus
Source: J Cheminform, Volume 6, Issue 1 (2014)
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The state of STI and research funding flows in Africa
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…
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Drug-Related Homicide in Europe
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.
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Single Cell
The single cell group (SCG) is part of the Metabolomics & Analytics Centre Our research is centered around developing innovating analytical methods tailored for small-volume, or single cell analysis to enable metabolomics-driven systems biology in personalized health strategies. We are always on…
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Playing dice with the Universe
The ultimate goal of cosmologists is to find a cosmological model able to explain the current observational data.
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Complex Patterns in Streams
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…
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Bioinformatics (MSc)
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.
- Lectures
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Participate in our experiments?
Would you like to join our research in Psychology Lab on Wheels? We currently have two experiments in the van. We will take the utmost care to protect your data and privacy. Join in our experiments. meld je aan.
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Staying Ahead of the Virus
In STAYAHEAD data-intensive approaches are being developed to ”decode the human immunome” with a focus on a global vaccine strategy. They have developed a rapid mass spectrometric test to analyse in real-time large numbers of variants of SARS-CoV-2 and the host immune response, and use these data to…
- Governance and Global Affairs
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From Big Bang to algorithm
Smart algorithms and powerful processors are just as essential for astronomy as big telescopes. Astronomers at Leiden University therefore constantly operate at the interface between astronomy and data science.
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Mathematical Institute
Mathematics forms the basis of many innovations in technology, the service industry and science, such as data analysis and coding, artificial intelligence, weather or climate change modelling or understanding molecular processes. The researchers from the Mathematical Institute (MI) are constantly developing…