1,142 search results for “genetics he data” in the Public website
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Sarah PlukaardSocial & Behavioural Sciences
s.c.plukaard@fsw.leidenuniv.nl | +31 71 527 7937
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Connect & Visualise: Data journeys in popular science
Webinar with Q&A
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Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
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Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making?
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration…
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Missing data procedures in multivariate analysis
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Using data to improve sports performances
‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.
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Data Science and Artificial Intelligence (BSc)
The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…
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Converting cultural heritage into usable data
How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.
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Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution
On 12 September 2019, Michiel Rhoen defended his thesis 'Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution in the context of big data'. The doctoral research was supervised by Prof. G.J. Zwenne and Prof.…
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Resampling Methodology for Longitudinal Data Analysis
How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.
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Experience Day Data Science & Artificial Intelligence
Study information
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Wouter StaalSocial & Behavioural Sciences
w.g.staal@fsw.leidenuniv.nl | +31 71 527 8843
- MSc Data Statistics & Data Science Graduation Ceremony
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Interested in sustainable innovation and data?
Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…
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Software and data for circular economy assessment
This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted.
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Interested in sustainable innovation and data?
Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…
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Wouter van LoonSocial & Behavioural Sciences
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe
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Multi-dimensional feature and data mining
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.
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Data Breaches and Effective Crisis Communication: A Comparative Analysis of Corporate Reputational Crises
Online data breaches are recurrent and damaging cyber incidents fors organizations worldwide. This study examines how organizations can effectively mitigate reputational damages in the aftermath of data breaches by hacking, through situational crisis communication strategies.
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Nanodata – Data providing services in support of research and policy in the field of nanosciences and nanotechnologies
This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.
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Laura ZwepFaculty of Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Data Science for State-of-the-Art Blood Banking (BloodStart)
There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…
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Interested in sustainable innovation and data?
Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…
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Interested in sustainable innovation and data?
Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…
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Tools and Data
Tools and Data of the department of Environmental Biology
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Essays on wealth, health, and data collection
On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.
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Wessel KraaijFaculty of Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Legal and policy aspects of space big data
On 27 May, Dimitra Stefoudi defended the thesis 'Legal and policy aspects of space big data: legal implications of the use of large amounts of space data – regulatory solutions and policy recommendations'. The doctoral research was supervised by Steven Truxal and Bart Custers.
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Kimberly KuiperSocial & Behavioural Sciences
k.c.kuiper@fsw.leidenuniv.nl | 071 5276719
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Cor VeenmanFaculty of Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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Nees Jan van EckSocial & Behavioural Sciences
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
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Julian KarchSocial & Behavioural Sciences
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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LABDA (Learning Network for Advanced Behavioural Data Analysis)
Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Danny MekicFaculty of Law
d.mekic@law.leidenuniv.nl | 071 5272727
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Gerrit-Jan ZwenneFaculty of Law
g.j.zwenne@law.leidenuniv.nl | +31 71 527 8838
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Applied statistics as a pillar of data science
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…
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Demystifying research data interoperability: A joint Leiden / Delft workshop
Workshop
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Accountability and data-driven urban climate governance
The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.
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A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
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Student for a day Data science & Artificial Intelligence
Study information
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How genetic research contributes to effective lion conservation
Human measures to protect lions have an impact on the genetic health of populations. Leiden and Kenyan scientists discovered this by analysing the DNA of 171 Kenyan lions. ‘By fencing reserves, for example, the chance of inbreeding increases.’ With the knowledge and tools from the research, management…