18 search results for “data analysis” in the Public website
-
Harold Nefs
Faculteit der Sociale Wetenschappen
h.t.nefs@fsw.leidenuniv.nl | +31 71 527 3992
-
Sarah Plukaard
Faculteit der Sociale Wetenschappen
s.c.plukaard@fsw.leidenuniv.nl | +31 71 527 7937
-
Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
p.m.kroonenberg@fsw.leidenuniv.nl | +31 71 527 2727
-
Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
-
Arno Knobbe in NWO publication 'Experiment NL' on intensive data analysis
Speed skating coach and human movement scientist Jac Orie has been capturing all details about the performance of 'his' skaters for fifteen years. Thanks to data scientist Arno Knobbe, who calculates the collected data in new ways, Orie can train his team even smarter in the run-up to the Olympic Winter…
-
Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
-
Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
-
Mirko Forastiere
Science
m.forastiere@cml.leidenuniv.nl | +31 71 527 2727
-
Guilherme D'Andrea Curra
Faculteit Archeologie
g.dandrea.curra@arch.leidenuniv.nl | 071 5272727
-
Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
-
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.
-
Don't Blink: Detecting transiting exoplanets with MASCARA
This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.
-
Cosmic tomography with weak gravitational lensing
We explored the Universe using weak gravitational lensing, a phenomenon that occurs when light from distant galaxies is bent by the gravitational fields of closer cosmic objects, much like how a lens distorts light.
-
Sport Data Center appointed as Certified Partner of Sportinnovator
The Sport Data Center, a consortium of universities of which Leiden University is leader, is recognised as a Certified Partner of Sportinnovator. This makes the Sport Data Center an important part of the Sportinnovator ecosystem. Sportinnovator is the national programme for sports innovation, initiated…
-
Light Weighed: On the Statistics and Systematics of Weak Gravitational Lensing
In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.
-
New SPARXS technique reveals DNA behaviour at unprecedented speed
Studying how single DNA molecules behave helps us to better understand genetic disorders and design better drugs. Until now however, examining DNA molecules one-by-one was a slow process. Biophysicists from Delft University of Technology and Leiden University developed a technique that speeds up screening…
-
‘Data science has crept into the faculties’ DNA’
From 14 to 29 PhD candidates, seven actively involved faculties and, above all, lots of innovative interdisciplinary research, all with data science as the common denominator. The university’s Data Science Research Programme (DSO) has proven so successful that after five years on a start-up grant it…
-
Zsuzsa Bakk winner of PhD Dissertation Award
Zsuzsa Bakk has been selected as the winner of the 2016 Distinguished Dissertation Award of the Classification Society for her thesis entitled 'Contributions to Bias Adjusted Stepwise Latent Class Modeling'.