1,417 search results for “liacs” in the Public website
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Walter KostersFaculty of Science
w.a.kosters@liacs.leidenuniv.nl | 071 5272727
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Oliver LenzFaculty of Science
o.u.lenz@liacs.leidenuniv.nl | 071 5272727
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Ugo VespierFaculty of Science
u.vespier@liacs.leidenuniv.nl | 071 5272727
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Anne-Marie AlleblasFaculty of Science
a.alleblas@liacs.leidenuniv.nl | 071 5274799
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Jan MartensFaculty of Science
j.j.m.martens@liacs.leidenuniv.nl | +31 71 527 2727
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Bram van DijkFaculty of Science
b.m.a.van.dijk@liacs.leidenuniv.nl | +31 71 527 2727
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Sanne van KralingenFaculty of Science
s.van.kralingen@liacs.leidenuniv.nl | +31 71 527 2727
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Anouk ZitmanFaculty of Science
a.j.zitman@liacs.leidenuniv.nl | 071 5724799
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Nadia van der ValkFaculty of Science
s.n.van.der.valk@liacs.leidenuniv.nl | 071 5272727
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Esme CauboFaculty of Science
e.caubo@liacs.leidenuniv.nl | +31 71 527 5298
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Sylvia MaasFaculty of Science
s.v.maas@liacs.leidenuniv.nl | 071 5277058
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George HendrikseFaculty of Law
g.w.j.hendrikse@law.leidenuniv.nl | 071 5272727
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Iris KolderFaculty of Science
i.c.r.m.kolder@liacs.leidenuniv.nl | +31 71 527 4759
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Nina HefeleFaculty of Science
n.hefele@liacs.leidenuniv.nl | +31 71 527 2727
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Katherine HamiltonFaculty of Science
k.l.hamilton@liacs.leidenuniv.nl | 071 5272727
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Koorosh Komeili ZadehFaculty of Science
k.komeili.zadeh@liacs.leidenuniv.nl | 071 5272727
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Jetty KleijnFaculty of Science
h.c.m.kleijn@liacs.leidenuniv.nl | +31 71 527 2727
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Antonio Pereira BarataFaculty of Science
a.p.pereira.barata@liacs.leidenuniv.nl | 071 5272727
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Samira Rezaei BadafshaniFaculty of Science
rezaei@strw.leidenuniv.nl | 071 5272727
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Jonathan VisFaculty of Science
j.k.vis@liacs.leidenuniv.nl | 071 5272727
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Ilja van den BrandtFaculty of Science
i.van.den.brandt@liacs.leidenuniv.nl | +31 71 527 2727
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Giulio BarberoFaculty of Science
g.barbero@liacs.leidenuniv.nl | 071 5274799
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Ludmilla van der MeerFaculty of Science
l.n.van.der.meer@liacs.leidenuniv.nl | 071 5272727
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Chris BroekemaFaculty of Science
p.c.broekema@liacs.leidenuniv.nl | 071 5272727
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Saber SalehkaleybarFaculty of Science
s.salehkaleybar@liacs.leidenuniv.nl | +31 71 527 2727
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Luc EdixhovenFaculty of Science
l.j.edixhoven@liacs.leidenuniv.nl | 071 5272727
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Guillermo PerezFaculty of Science
g.a.perez@liacs.leidenuniv.nl | 071 5272727
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Ayse GüzelFaculty of Science
a.m.guzel@liacs.leidenuniv.nl | 071 5272727
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David Von DollenFaculty of Science
d.von.dollen@liacs.leidenuniv.nl | +31 71 527 7058
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Tarik ZaciragicFaculty of Science
t.zaciragic@liacs.leidenuniv.nl | 071 5272727
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Thomas MoerlandFaculty of Science
t.m.moerland@liacs.leidenuniv.nl | +31 71 527 4799
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Machine Learning
Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…
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Diversity and Inclusion
The Faculty of Science adopted an action plan Diversity and Inclusiveness in 2015. In this action plan, the Faculty commits to a number of actions to further improve diversity and inclusion for staff and students, such as more female full professors at the faculty, and encourages initiatives that foster…
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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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History
Life Sciences Artificial Intelligence Data Science
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Human language inspired AI – and now we can use that AI to learn about language
Yuchen Lian defended her thesis on AI and language evolution at Leiden University.
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VODAN Africa – FAIR Covid-19 Data across Africa and Asia
VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…
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Novel system-inspired model-based quantum machine learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
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Population-Scale Network Analysis (POPNET)
A research data infrastructure in computational social science
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Medicine
The Faculty of Medicine
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Education & Training
At CWTS, we offer a range of educational and training activities designed to equip students, researchers, and professionals with the skills and knowledge to better understand the science system and its interactions with society.
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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MAPHSA - Mapping the Archaeological Pre-Columbian Heritage in South America
The archaeological heritage of South America is facing increasing threats due to the expansion of agricultural activities, infrastructure expansion, illegal wood harvesting, and the current fire emergency plaguing the Amazon and other biomes of the continent.
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The Programmer's Brain
Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code.
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[sbb] INSCONS: International Scientific Consortia
Addressing Global Challenges through International Scientific Consortia
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DSE 2.0: Towards Optimal Design of Complex, Distributed Cyber Physical Systems
DSE 2.0 concerns research on DSE techniques for complex dCPS
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NExt ApplicationS of Quantum Computing (NEASQC)
The NEASQC project brings together academic experts and industrial end-users to investigate and develop a new breed of Quantum-enabled applications that can take advantage of NISQ (Noise Intermediate-Scale Quantum) systems in the near future. NEASQC is use-case driven, addressing practical problems…
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Foundation for Industry (FIND) – Large AI models for a resilient high-tech industry.
Foundation for Industry (FIND) brings together 5 universities with 10 labs, 11 Dutch companies, ranging from start-ups to multinationals, and 2 knowledge institutes to pave the way for a new wave of AI-based automation that helps the Dutch industry strengthen and keep its international competitive advantage…
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Flagships
In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.
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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.