661 zoekresultaten voor “interiors for display” in de Publieke website
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Strategies for braiding and ground state preparation in digital quantum hardware
With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.
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Novel formulations and delivery strategies for inactivated polio vaccines : new routes with benefits
This thesis describes the development of improved formulations and alternative delivery strategies for polio vaccination.
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Evaluation of the zebrafish embryo as an alternative model for hepatotoxicity testing
Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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Discovery of FLT3 inhibitors for the treatment of acute myeloid leukemia
The disease acute myeloid leukemia (AML) is characterized by fast progression and low survival rates.
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Postdoc position for project Fair Educational Assessment in the Age of AI (FAIR-ASSESS)
Governance and Global Affairs, Instituut Bestuurskunde
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Environmental assessment and guidance for the future offshore wind energy development
This thesis aims to address offshore wind energy (OWE)-related environmental impacts.
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Reparations for International Crimes and the development of a Civil Dimension of International Criminal Justice
Miriam Cohen verdedigde haar proefschrift genaamd “Reparations for International Crimes and the development of a Civil Dimension of International Criminal Justice” op 28 juni 2017. Ze schreef haar proefschrift onder supervisie van prof.dr. L.J. van den Herik en prof. dr. C. Stahn.
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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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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Vaccination and Targeted Therapy Using Liposomes; Opportunities for Treatment of Atherosclerosis and Cancer
This thesis focuses on using liposomes in two different treatment strategies; vaccination (or immunotherapy) and delivery of a small molecule, and in two different disease models; cancer and atherosclerosis.
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Dynamic hydrogels as synthetic extracellular matrices for three- dimensional cell culture
Synthetic hydrogels that mimic the natural extracellular matrix in the biophysical and biochemical cues it provides to cells are in high demand, however the cell phenotypes as they are observed in vivo in numerous cases have yet to be attained.
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Stable single molecules for quantum optics and all-optical switches
Promotor: Prof.dr. M.A.G.J. Orrit
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Triple bottom line approach for risk-benefit analysis of genetically modified crops
Description of Triple bottom line approach for risk-benefit analysis of genetically modified crops.
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Plan B for particle physics: finding long lived particles at CERN
This thesis discusses the discovery potential of Intensity Frontier experiments.
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Innovative (electro-driven) sample preparation tools for metabolomics study of muscle aging
This thesis focuses on the development of sample-preparation methods for small amounts of samples and applying the developed methods to muscle tissues to investigate the mechanisms involved in sarcopenia.
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Genomics driven metabolomics novel strategies for the discovery and identification of secondary metabolites
Promotor: T. Hankemeier, Co-promotor: R.J. Vreeken
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Ruthenium- and cobalt-based artificial metalloenzymes for photocatalytic water oxidation in artificial photosynthesis
Producing green energy has become the main goal in our society in the search of reducing or eliminating the carbon emission from fossil fuels.
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Small changes for long term impact: optimization of structure kinetic properties: a case of CCR2 antagonists
Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: L.H. Heitman
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Enumeration and Simulation of Lattice Polymers as Models for Compact Biological Macromolecules
Promotores: H. Schiessel, G.T. Barkema
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Zebrafish embryos and larvae as a complementary model for behavioural research
Promotor: Prof.dr. M.K. Richardson
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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A monodromy criterion for existence of Neron models and a result on semi-factoriality
In the first part, we introduce a new condition, called toric-additivity, on a family of abelian varieties degenerating to a semi-abelian scheme over a normal crossing divisor.
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Invariant manifolds and applications for functional differential equations of mixed type
Promotor: S.M. Verduyn Lunel
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Mesoporous silica nanoparticle-based protein delivery systems for biomedical applications
Promotor: A. Kros
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Nano-Engineering with Iron, Ruthenium and Carbon: Hybrid structures for Sensing
Metal complexes and 2D materials like graphene were combined to produce structures that can function as sensors.
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Nanofluidic tools for bioanalysis : the large advantages of the nano-scale
Promotor: Prof.dr. T. Hankemeier, Prof.dr. J.C.T. Eijkel (Twente University)
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Applications for activity-based probes in biomedical research on glycosidases
Lysosomal glycosidases are acid hydrolases that fragment glycoconjugates in lysosomes.
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Development of highly accurate density functionals for H2 dissociation on transition metals
Metals surfaces form a group of effective catalysts for the reaction of small molecules such as hydrogen (H2).
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Discovery and development of inhibitors selective for human constitutive proteasome and immunoproteasome active sites
This thesis describes the design and development of subunit‐selective inhibitors of particular catalytically active subunits of human constitutive proteasomes and immunoproteasomes.
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Artificial metallo-proteins for photocatalytic water splitting: stability and activity in artificial photosynthesis
Climate change is one of the largest challenges faced by humanity. To combat this research into alternatives to fossil fuels is ongoing. Dihydrogen is considered a good alternative fuel, since its burning only forms water.
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UN 2.0: Ten Innovations for Global Governance 75 Years beyond San Francisco
Dr. Joris Larik, universitair docent vergelijkend, EU- en internationaal recht bij LUC The Hague, is coauteur van het rapport 'UN 2.0: Ten Innovations for Global Governance 75 Years beyond San Francisco'.
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System-level design for efficient execution of CNNs at the edge
A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.
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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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A time-space translation mechanism for patterning the vertebrate anteroposterior axis
My PhD project studies how the temporally sequential Hox gene expression is regulated during head-tail patterning of the frog embryo.
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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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A chemical biology approach for targeting of ligand-drug conjugates
Promotores: H.S. Overkleeft, G.A. van der Marel, Co-Promotor: R.G. Boot
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Mining the kinematics of discs to hunt for planets in formation
Detecting planets during their formation stages is crucial for understanding the history and diversity of fully developed planetary systems like our own. However, observing young planets directly is challenging because they are often deeply embedded within their host protoplanetary discs, rich in gas…
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Bioorthogonal Antigens as Tool for Investigation of Antigen Processing and Presentation
In order to be able to develop effective medicine and treatments to prevent or cure autoimmune diseases or cancer we need to understand the mechanisms how they arise and what drives their course.Unravelling the fundamental molecular mechanisms influencing the onset and course of diseases such as allergies,…
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Less is more: reduced mycelial heterogeneity for improved production of enzymes and antibiotics
Hoe kan de techniek van cell wall engineering worden ingezet zodat de industrie streptomyceten beter kunnen verwerken tot nieuwe antibiotica?
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On the efficacy of digitized storybooks for young learners with attention problems
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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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BRCA1-associated breast cancer: finding new weapons for an old villain
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Challenges of New Media for the Development of Early Literacy Skills in Children at Risk
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Supercritical carbon dioxide spray drying for the production of stable dried protein formulations
Promotor: W. Jiskoot, Co-promotor: H.A. Every
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Image-based phenotypic screening for breast cancer metastasis drug target discovery
The main aim of this thesis was to unravel the signaling and regulatory networks that drive tumor cell migration during breast cancer metastasis.
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Universal adelic groups for imaginary quadratic number fields and elliptic curves
Promotor: Prof.dr. P. Stevenhagen, Prof.dr. K. Belabas (Univ. de Bordeaux)