1,827 search results for “data analysis” in the Public website
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Media studies: Cultural Analysis: Literature and Theory
Are you thinking about studying Cultural Analysis: Literature and Theory? Learn more and watch the introduction video.
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Cultural Analysis: Literature and Theory (MA)
The master in Cultural Analysis: Literature and Theory at Leiden University studies contemporary literature and culture (art, cinema, pop music) from a theoretical, critical perspective, with special emphases on approaches developed in cultural and literary studies, feminist theory, phenomenology and…
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Excavating Fossilized Data
A cross-cut analysis of the ties between university research and fossil industries.
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Integrating palaeoproteomics into the zooarchaeological analysis of Palaeolithic bone assemblages
Doctoral Thesis
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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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Making big data meaningful for a promising start
All children deserve a promising start. Most children are doing fine. But some need extra support, because of problems during pregnancy or because they grow up in disadvantaged circumstances, e.g. due to poverty, parental addictions or psychological problems.
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Population PKPD analysis within the “DINO-Trial” evaluating the pharmacokinetics and pharmacodynamics of routinely used off-label drugs in premature
Currently, more than 80% of drugs are used in an off-label manner in critically ill neonates.
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A new era for nature conservation using hyperspectral and lidar data; Oostvaardersplassen as a case study
This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.
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ALL-IN meta-analysis
Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.
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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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Antoine Coudard
Science
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Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
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Ancient Egyptian Footwear: An Archeological Analysis
The wealth of shoes, sandals and other footwear from ancient Egypt is poorly understood due to lack of research. This is remarkable, because from the very beginning of Egypt’s long history footwear served practical as well as more spiritual purposes.
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek
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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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Biometric data appointment
Before your student residence permit can be issued, you must have your biometric data recorded.
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Publish your data
Why should you publish your data? ... and how?
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Data Mining and Sports
Collecting data in sports increased in importance the last few years.
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Network analysis reveals unexpected societal patterns
Thanks to data science, we can chart and search enormous quantities of related information. This generates all kinds of new insights, for example in complex global financial structures or such societal problems as loneliness.
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Multiple imputation within the context of multiway analysis
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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.
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Applied Data Science Lab
Although science and education have top priority, exploratory projects with companies, governments and NGOs generate ample opportunities in terms of societal challenges, science strategy, valorisation and research collaboration. In the LIACS Applied Data Science Lab, our master's students and graduates…
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The integration of meta-analysis and classification & regression trees: meta-CART
In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).
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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 sets
Data sets available for scientific/research purposes.
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Data Science & Artificial Intelligence
De minor Data Science & Artificial Intelligence geeft een toegankelijke introductie tot de theorie en praktijk van datawetenschap en kunstmatige intelligentie. Studenten leren de basis van data-analyse en patroonherkenning in grote gegevensverzamelingen, hoe computers leren en ook het interpreteren…
- Data Science & Artificial Intelligence
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Data Management | Project 0100
This page provides an overview of our data management practices.
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Statistics and Data Science
Are you thinking about studying Statistics and Data Science? Learn more and watch the introduction video.
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igraph - To modernize the igraph interfaces to make network analysis easier
igraph development focused on improving the most-used interfaces, which are Python, R, and Mathematica. Additionally, the developers aim to make the library and the interfaces easier to maintain, focusing on long-term sustainability. This ensures that igraph continues to be a useful tool for network…
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Mass Spectrometry-Based Degradomics Analysis of Toxoid Vaccines
The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry.
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Robust Estimation using Aggregated Data for Urban policy making (READ-URBAN)
Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.
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Statistics in Infinite Dimensions: Targeting Priors by Mathematical Analysis
Novel methods for understanding key aspects that are essential to the future of Bayesian inference for high- or infinite-dimensional models and data.
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Data Visualization Challenge
Wouter Eekhout, our data magician, came in 3d place in the #LinksSDGs - Natural language processing and data visualization challenge.
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From Data to ACTive lifestyle in Wheelchair users (D-ACT-Wheel)
Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.
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Aspects of the analysis of cell imagery: from shape to understanding
In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.
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Chainet - European network on chain analysis for environmental decision support
Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.
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Quan/Qual analysis of drugs and metabolites in biological matrices
Can we develop a generic method for Quan/Qual analysis of small molecule drugs, their metabolites and endogenous metabolites in (pre-)clinical samples?
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Dedicated image data handling
This page is under construction.
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Physicochemical analysis of allosteric binding pockets
Supervisor: Gerard van Westen
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CWTS Research Data Management Guidelines
The CWTS research data management guidelines outline a set of expectations about how CWTS researchers should go about handling data that is collected, processed, (re)used, and shared throughout the lifecycle of a given project.
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Astronomy and Data Science (MSc)
The Astronomy and Data Science master’s specialisation at Leiden University combines advanced Astronomy courses with relevant courses from the Computer Science programme at Leiden University.
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Tools and Data
Software and Data of the department Industrial Ecology
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Analysis of sub-visible particles in complex injectable formulations
Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik
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Empirical Analysis of Social Insurance, Work Incentives and Employment Outcomes
On 24 January 2024, Vethaak defended the thesis 'Empirical Analysis of Social Insurance, Work Incentives and Employment Outcomes'. The doctoral research was supervised by Koen Caminada and Pierre Koning.