440 search results for “genetica he data” in the Public website
-
Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
-
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…
-
Cor Veenman
Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
-
Helena Vrabec
Faculteit Rechtsgeleerdheid
h.u.vrabec@law.leidenuniv.nl | +31 71 527 8838
-
Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
-
Jaap-Willem Mink
Faculteit der Sociale Wetenschappen
j.a.b.mink@fsw.leidenuniv.nl | +31 71 527 6801
-
Nees Jan van Eck
Faculteit der Sociale Wetenschappen
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
-
Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
-
Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
-
Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
-
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.
-
Discrimination and Privacy in the Information Society; Data Mining and Profiling in Large Databases
Latest technological developments in data mining and profiling.
-
National Culture and Africa Revisited: Ethnolinguistic Group Data From 35 African Countries
This study seeks to partially fill the knowledge gap about national culture in Africa, basing its research on data on ethnolinguistic groups (instead of administrative regions).
-
Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
-
Integrating data to learn more
Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.
-
Sport Data Center
Sport Data Center
-
learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
-
RISIS – Research infrastructures for the assessment of science, technology and innovation policy
The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…
-
Richard Gill
Science
gill@math.leidenuniv.nl |
-
Jacq Meulman
Science
j.j.meulman@math.leidenuniv.nl | +31 71 527 2727
-
Rob Tijdeman
Science
tijdeman@math.leidenuniv.nl | +31 71 527 4831
-
Somayeh Djafari
Faculteit Rechtsgeleerdheid
somie.djafari@gmail.com | +31 71 527 5200
-
Mason Marks
Faculteit Rechtsgeleerdheid
m.m.marks@umail.leidenuniv.nl | +31 71 527 5200
-
Jenneke Evers
Faculteit Rechtsgeleerdheid
g.h.evers@law.leidenuniv.nl | +31 71 527 8838
-
Simon van Lierde
Science
s.n.van.lierde@cml.leidenuniv.nl | +31 71 527 2727
-
Bastienne Vriesendorp
Science
b.vriesendorp@biology.leidenuniv.nl | +31 71 527 2727
-
Barend Mons
Faculteit Geneeskunde
b.mons@lumc.nl | +31 71 526 9111
-
Max van Haastrecht
Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | +31 71 527 4799
-
analysis of cultural landscapes through remote and close range sensing data
What workflow of non-destructive techniques provides accurate, valuable data to improve our understanding of Caribbean archaeological landscapes? How were Amerindian settlements configured?
-
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…
-
Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
-
Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
-
Alan Sears
Faculteit Rechtsgeleerdheid
a.m.sears@law.leidenuniv.nl | +31 71 527 8154
-
Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
-
Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
-
-
Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
-
Lone Actor Terrorist Attack Planning and Preparation: A Data‐Driven Analysis
This article provides an in‐depth assessment of lone actor terrorists’ attack planning and preparation.
-
The Power of Knowledge Ethical, Legal and Technological Aspects of Data Mining and Group Profiling in Epidemiology
With the rise of information and communication technologies, large amounts of data are being generated and stored in databases. In order to get a better grip on these large amounts of data, serious efforts are being made to discover patterns and relations in the data with the help of new techniques.…
-
The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
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…
-
ultimate leadership challenge: making critical decisions without enough data
The coronacrisis is emerging as the ultimate test for political leaders. How do national political leaders get ahead or behind ‘the curve’ of fast-changing dynamics. Martin Lodge (London School of Economics and Political Science) and Arjen Boin (Leiden University Institute of Political Science) look…
-
tools for the exchange, analysis and communication of anonymised patient data
This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…
-
Data science and sports: a winning combination
Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.
-
Big data in archaeology: harnessing the hidden knowledge in the “graveyard” of Malta reports
The goal is to establish an intuitive search and querying service that allows researchers to quickly retrieve the most valuable digital resources, in order to allow them to integrate and synthesise the results into a coherent narrative of the past. The current focus of the project is to implement…
-
circadian clock: An integration of computational methods and empirical data
PhD defence
-
Staying healthy with big data
By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.
-
Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
-
Leiden University launches Data Science research programme
Leiden University is investing 4 million euros in a new Data Science research programme. This is a joint initiative of all the faculties, headed by Dean Geert de Snoo at the Faculty of Science. The programme will focus on Leiden scientific data.
-
Personalized Predictions for Migraine and Stroke from E-Health Sensor Data
The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.
-
EuDEco case study report (D1.3)
D1.3 describes a set of five case studies relevant in the context of the EuDEco project. Case studies are considered relevant if they are initiatives focusing on the promotion of big data and data reuse or pilots facilitating data reuse in one form or the other. The case studies were expected to allow…
-
transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro