185 search results for “high both deeltijd” in the Public website
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Oskar Bothe-Sijbolts
ICT Shared Service Centre
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Anneke Both-de Vries
Faculteit der Sociale Wetenschappen
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek
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Empirical Bayes applications in biomedical high-dimensional prediction
The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.
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High-Contrast Imaging of Protoplanetary Disks
To study how planetary systems come into existence we study much younger systems still in formation.
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High-contrast spectroscopy of exoplanet atmospheres
More than 5,000 exoplanets have been found over the past couple of decades. These exoplanets show a tremendous diversity, ranging from scorching hot Jupiters, common super-Earths, to widely separated super-Jupiters on the planet/brown dwarf boundary.
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High-Throughput Metabolomics
Development of Comprehensive and High-throughput metabolomics techniques and Clinical applications of (pharmaco)metabolomics
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High performance computing
A high performance computer or supercomputer owes its massive processing capacity to the fact that it chops a single overarching task into a whole series of smaller tasks. It simultaneously tackles each of those smaller problems.
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ALICE High Performance Computing facility
High Performance Computing (HPC) is becoming ever more important as a research tool in many research areas across all research domains. A University facility, providing serious computational capabilities, combined with easy and flexible local access, is a strong advantage for these research areas. It…
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Microfluidic 3D cell culture for high throughput screening
There is an urgent need for more physiologically relevant cell culture methods to guide compound selection in pre-clinical stages of the drug development pipeline.
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High-throughput screening for developmental and reproductive toxicity
Can chemical safety assessment be improved with zebrafish embryo-based reporter assays?
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The reintegration of high profile ex-offenders
The reintegration of high profile ex-offenders frequently receives great political and public attention. While this attention, more often than not in the form of negative sentiments, may be understandable from a moral perspective, it raises several important questions: how do such offenders reintegrate…
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Neutral outflows in high-redshift dusty galaxies
Outflows are crucially important for the gas budget and evolution of luminous star-forming galaxies and AGNs, with observed mass outflow rates of the same order as the star formation rate. Greater star formation and black hole growth lead to more intense feedback and outflows, resulting in self-regulated…
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High-throughput quantification and unambiguous identification for metabolomics
The challenge of achieving fast quantification in metabolomics is the presence of severe matrix effects during the MS analysis of complex samples.
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High-contrast imaging polarimetry of exoplanets and circumstellar disks
Understanding the formation and evolution of planetary systems is one of the most fundamental challenges in astronomy. To directly image and study young exoplanets and the circumstellar disks they form from, dedicated high-contrast imaging instruments are built.
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Kate Kirk
Faculty Governance and Global Affairs
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ZF-CANCER - Developing high-throughput bioassays for human cancers in zebrafish
How can zebrafish research help to understand and fight human cancer?
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High-throughput profiling of small molecules using mass spectrometry
Promotor: Prof.dr. T. Hankemeier, Co-Promotor: R.J. Vreeken
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For high school students
We organise various activities for high school students and their physics teachers to learn about Astronomy at Leiden University.
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Development of Comprehensive and High-throughput metabolomics techniques
A major goal of ABS research is to overcome one of the major bottle-necks in metabolomic research: the lack of a high-throughput infrastructure in which thousands of samples can be processed in a standardized and cost-effective way (max. a few tens of Euro’s per sample for a full metabolome profile).…
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.
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Silicon pore optics for high-energy optical systems
This thesis examines silicon pore optics (SPO), a technology that exploits silicon wafers from the semiconductor industry to create extremely high quality X-ray optics, by studying its manufacturing process, applications, and prospects.
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High-resolution integral-field spectroscopy of exoplanets
This thesis describes the implementation and on-sky demonstration of high-resolution integral-field spectroscopy for extreme adaptive optics systems that are used to find and characterize exoplanets.
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Disorder and interactions in high-temperature superconductors
This thesis is devoted to an in-depth examination of the various effects of disorder in the cuprate high-temperature superconductors.
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Painting with starlight : optical techniques for the high-contrast imaging of exoplanets
This thesis describes the development and validation of new high-contrast imaging techniques, with the ultimate goal of enabling the next generation of instruments for ELT-class telescopes to directly image Earth-like extra-solar planets orbiting around nearby stars.
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SKY HIGH: Vertical farming a revolution in plant production
As a new vision on food production, the feasibility study on LED light to grow crops with the biological- and chemical evaluation of final products.
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Exploring strange new worlds with high-dispersion spectroscopy
Until the 1990s, the only known planets were those in our Solar System. Three decades later, several thousand exoplanets have been discovered orbiting stars other than the Sun, and substantial efforts have been made to explore these strange new worlds through spectroscopic analyses of their atmosphe…
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Metals in the diffuse gas around high-redshift galaxies
Promotores: Prof.dr. J. Schaye & Prof.dr. C. Steidel (California Institute of Technology)
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Settlement Dynamics and High-Precision 14C Dating
For present purposes, it is important to distinguish between an early period of settlement, about 6800-6200 BC, and a late period, about 6200-5800 BC, at Tell Sabi Abyad.
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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Tailored care for children at high risk for problem behaviour
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Microcoil MRI of Plants and Algae at Ultra-High Field: An exploration of metabolic imaging
This thesis investigates the relations between metabolism and anatomy through the use of Magnetic Resonance Imaging (MRI).
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Monitoring Alzheimer's disease in transgenic mice with ultra high field magnetic resonance imaging
Promotor: H.J.M. de Groot, Co-Promotor: A. Alia
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Developing systems for high-throughput screening of infectious diseases using zebrafish
Promotor: Prof.dr. H.P. Spaink, Co-promotor: Prof. dr. A.H. Meijer
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Detection of Archaeological Sites in High Resolution Satellite Images
In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.
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High throughput microscopy for cellular adaptive stress response pathways in drug adversity
High throughput microscopy
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Nonparametric Bayes for high-dimensional models: contraction, credible sets, computations
Nonparametric Bayes for high-dimensional models: contraction, credible sets, computations
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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Wolfgang Löffler Lab - Solid State and High Dimensional Quantum Optics
Advancing the understanding of the interaction of light and matter on the single-quantum level is important for near-future quantum technologies but also to answer fundamental questions.
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Prior information and variational Bayes in high dimensional statistical network inference
This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).
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Prying eyes on radio skies: pushing the high-resolution low-frequency frontier with LOFAR
In this thesis we push the boundaries of high-resolution imaging at radio frequencies between 100 and 200 MHz. Using the International LOFAR Telescope that spans across Europe we achieve sub-arcsecond angular resolution.
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Winds in the AGN environment: new perspectives from high-resolution X-ray spectroscopy
Promotor: J.S. Kaastra Co-promotor: E. Constantini
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confronting hydrodynamic simulations with new observations of high-density environments
Galaxies in the Universe are distributed along the intricate framework of the Cosmic Web. Groups and clusters of galaxies comprise the densest regions in this network, and therefore, are excellent cosmic laboratories to study different aspects of galaxy evolution in extreme environments.
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High-field neuroimaging of computational processes that drive cognitive control.
How do humans control their thoughts and actions, and what can high-field brain scanning reveal about the underlying processes?
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stimulation reduces spontaneous but not induced negative thought intrusions in high worriers
Transcutaneous vagus nerve stimulation (tVNS) was tested in chronic worriers. tVNS may reduce spontaneously occurring negative thought intrusions. After a worry induction, there was no longer an effect of tVNS. tVNS did not affect physiological responding to worrying.
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sample preparation and handling strategies for automated and high-throughput metabolomics
Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…
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Microfluidics for high-throughput liposome formulation for personalized cancer vaccination
Liposomes hold great promise for peptide-based personalized cancer vaccination, especially when administered intradermally. However, current liposome preparation methods are very time consuming (resulting in long development times per formulation), whereas personalized cancer vaccination requires very…
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Feedback from deeply embedded low- and high-mass protostars. Surveying hot molecular gas with Herschel
Promotor: Prof.dr. E.F. van Dishoeck, Co-Promotor: G.J. Herczeg
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…