1,784 search results for “data energy” in the Public website
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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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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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Felix Smits
Faculty of Science
smits@physics.leidenuniv.nl | +31 71 527 5823
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Laura Zwep
Faculty of Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Using fungi to produce renewable energy
Ebru Alazi ‘hacked’ an enzyme-producing system in the fungus Aspergillus niger in order to produce renewable energy more easily. She manipulated the fungus, making it produce more pectinases: enzymes mainly used in the food industry and in the production of renewable energy, such as biofuels. Promotion…
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Data structures for quantum circuit verification and how to compare them
Quantum computers are a proposed fundamentally new type of computer. They aim to perform some computations much faster than previously possible by exploiting phenomena at the quantum scale, called superposition and entanglement.
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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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Wessel Kraaij
Faculty of Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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Zhenyang Chen
Faculty of Science
z.chen@cml.leidenuniv.nl | +31 71 527 2727
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Henk Hoekstra
Faculty of Science
hoekstra@strw.leidenuniv.nl | +31 71 527 5594
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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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Countering Lone Actor Terrorism: Data Collection & Analysis
This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.
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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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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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Christa Tobler speaks at the European Energy Law Seminar 2022
On 24 May 2022, Christa Tobler gave a lecture on 'EU-Swiss Legal Relations: Why do we still not have an Energy Agreement?'
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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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Cor Veenman
Faculty of Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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Nees Jan van Eck
Social & Behavioural Sciences
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
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Julian Karch
Social & Behavioural Sciences
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Frank Takes
Faculty of Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
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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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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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EU Erasmus+ Curriculum Development in Data Science and Artificial Intelligence
LIACS is a partner in the EU Erasmus+ Curriculum Development for the Asian education system. The knowledge available in the field of Data Science and Artificial Intelligence education will be shared and adapted for the Asian market.
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Cheminformatics: Analyzing small-molecule activity data
While bioinformatics methods deal with the analysis of sequence information (be it proteins or DNA), the field of cheminformatics is concerned with the analysis of small-molecule datasets.
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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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Data Carpentry with R for Social Sciences and Humanities
Workshop
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Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
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Danny Mekic
Faculty of Law
d.mekic@law.leidenuniv.nl | 071 5272727
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Gerrit-Jan Zwenne
Faculty of Law
g.j.zwenne@law.leidenuniv.nl | +31 71 527 8838
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Data use, online consumer needs, business strategies and regulatory response
This project 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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REEsilience
How can we ensure a more resilient and sustainable supply of Rare Earths in the EU in the future?
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EU privacy and data protection law applied to AI
On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.
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Post-Doctoral Researcher in Data Science & Armed Conflict
Governance and Global Affairs
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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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Dedicated image data handling
This page is under construction.
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Matthijs van Leeuwen
Faculty of Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Tom Wilderjans
Social & Behavioural Sciences
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
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Alan Sears
Faculty of Law
a.m.sears@law.leidenuniv.nl | +31 71 527 8154
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Why fundamental science matters
Why do we need fundamental science? For a lot of reasons, speakers showed at the Lustrum Symposium ‘Science Matters’. This symposium was held on 18 March 2016 to celebrate the 200th anniversary of the Faculty of Science.
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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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Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
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Max van Haastrecht
Faculty of Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | 071 5272727
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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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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.
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Richard Gill
Faculty of Science
gill@math.leidenuniv.nl |