1,800 search results for “van data near inzichten” in the Public website
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Cities of the Roman Near East
The main objective of this research is to map out the cities of the Roman Near East in the imperial period, with a focus on location, city size and urban features, in order to study the form the urban system and its levels of integration.
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Ancient Near Eastern Studies (BA)
The areas around the Mediterranean Sea have a rich and fascinating past. Do you want to explore these ancient and diverse cultures of the Mediterranean World? In the Dutch-taught Bachelor's programme Ancient Near Eastern Studies at Leiden University you will study the world of Ancient Egypt, Mesopotamia…
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Synthetic model microswimmers near walls
Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.
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Archaeology of the Near East
The Near East, situated at the nexus of Europe, Africa, and Asia, was central to the development of ancient societies in all three continents.
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The impact of migration: Migrant-related change in the ancient Near East
This project aims at investigating the multidirectional effects of forced and voluntary forms of migration in the ancient Near East.
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Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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Radio galaxies near the epoch of reionisation
This thesis explores the theoretical and observational properties of distant massive galaxies that harbour active black holes in their centres and shine brightly at radio wavelengths.
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Foam rheology near the jamming transition
Promotor: M.L. van Hecke, Co-Promotor: B.P. Tighe
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‘For good measure’: data gaps in a big data world
Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.
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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
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PROPER: ‘Near-patient’ prostate cancer models for the assessment of disease prognosis and therapy
How to identify patients at risk of developing devastating, metastatic disease and facilitate the development of personalised treatment for prostate cancer patients?
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Inaugural lecture: Data of Value
By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.
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Publication Helena Ursic en Bart Custers about data reuse
Data reuse and big data: a taxonomy for personal data reuse.
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Data
Data Sets Department of Economics
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Governance and Data Science Group
The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…
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The Van Loon Project
The Van Loon project sets out to safeguard the archives of Dutch archaeologist Maurits van Loon (Amsterdam, September 22, 1923 - Montpellier, October 12, 2006) and make them accessible for further study.
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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Data-Driven Drug Discovery Network (D4N)
The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.
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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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Inaugural lecture: Data science and Ebola
Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…
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Data Management
LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…
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Data science
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…
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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Data Science
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.
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Data Science
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…
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Data exchange
What consequences does Brexit have for the protection of personal data?
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learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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Data Use
The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
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Data based decision making processes in secondary education
How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Role of near-surface environment in tuning electrochemical CO2 reduction reaction and H2 evolution reaction
This thesis has shed light on some of the ways in which the local electrolyte composition can differ from the bulk and how these changes in the local reaction environment can determine the activity and/or selectivity of two important electrocatalytic reactions, namely, electrochemical CO2 reduction…
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Ongoing excavations at Les Cottés (near Poitiers, France)
Les Cottés is one the rare site in western Europe with occupations in sequence by the very last Neandertals and the first anatomically modern humans.
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Uncontrollable: Data subject rights and the data- driven economy
On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.
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Data protection and privacy
At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).
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Privacy and data protection
As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.
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Health Data Science
Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Biometric data appointment
Before your student residence permit can be issued, you must have your biometric data recorded.
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Data Analytics and Management
Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…
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Scientometrics Using Open Data
Research
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Data Mining and Sports
Collecting data in sports increased in importance the last few years.
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Publish your data
Why should you publish your data? ... and how?
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Sport Data Center
Sport Data Center
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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Data Management Protocol
The Data Management Protocol is an elaboration of the Leiden University Data Management Regulations for research that takes place within the Leiden Institute of History. It is intended for researchers who are starting a research project and / or researchers who are going to submit a proposal to external…
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Data Science Research Programme
The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.