1,151 zoekresultaten voor “activation leiden design” in de Publieke website
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Synthetic carbohydrate ligands for immune receptors
One of the main challenges in the development of an effective anti-cancer vaccine is the generation of an adequate and directed cellular immune response.
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Opportunity and Problem in Context (OPiC). A framework for environmental management in developing countries
Promotor: W.T. de Groot
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Engagement of citizens and public professionals in the co-production of public services
The idea of citizens and public professionals collaborating to provide public services has widely spread in several countries around the globe. Co-production is often presented as the go-to solution for challenges like a legitimacy crisis of both the government and the market, and financial concerns.…
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Pharmaceutical Aspects of Subvisible Particles in Protein Formulations
Promotor: W. Jiskoot, Co-promotor: A. Hawe
- Leiden Leadership Centre
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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Steps in gas-surface reactions
Heterogeneous catalysis is essential to many industrial applications. These catalysts are often comprised of supported nanoparticles, which contain various different surface sites.
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Artificiele Intelligentie en Ethiek bij de Politie
Artificiele Intelligentie en Ethiek bij de Politie
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The road to insurmountability: Novel avenues to better target CC Chemokine receptors
This thesis explores different avenues to develop insurmountable antagonists for CC Chemokine Receptors, such as CCR1, CCR2 and CCR5.
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Hysterons and pathways in mechanical metamaterials
Mechanical metamaterials are carefully engineered materials whose properties are controlled by their structure, not by their composition, which allows using metamaterials to study and control physical effects in detail.
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Iron complexes as electrocatalysts for the water oxidation reaction
In this dissertation, the synthesis and characterization of a series of iron complexes based on different ligand platforms are described.
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Materials Innovative Technologies Assessment (MIN-TEA)
How can prospective LCA be streamlined in a way that its practical application in research and technology development increases?
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Photothermal studies of single molecules and gold nanoparticles: vapor nanobubbles and conjugated polymers
Promotor: M.A.G.J. Orrit
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Are we there yet? Advances in anytime-valid methods for hypothesis testing and prediction
Statistical considerations guide the design and implementation of the experiments that scientists perform. For instance, in a clinical trial about a the efficacy of a treatment, its effect in a certain minimum amount of patients has to be observed in order to make confident assertions about the efficacy…
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Pharmacology based toxicity assessment: towards quantitative risk prediction in humans
Promotor: Prof.dr. M. Danhof
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Laser-generated toroidal helium plasmas
This dissertation is an experimental study of laser-generated, atmospheric pressure, transient toroidal helium plasmas.
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Quantifying the toxicity of mixtures of metals and metal-based nanoparticles to higher plants
Promotores: Prof.dr. W.J.G.M. Peijnenburg & Dr. M.G. Vijver
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Coiled-coil mediated liposomal fusion: Asymmetric behaving peptide fusogens
Membrane fusion is a vital process in living organisms and is mediated by zipper-like proteins.
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Programma's
De Academy of Creative and Performing Arts biedt in samenwerking met een aantal instellingen voor hoger onderwijs in de kunsten, twee PhD-programma’s aan: in de muziek (docARTES) en de beeldende kunst en vormgeving (PhDArts). Deze programma's zijn beide internationale doctoraatsprogramma's voor praktijkgericht…
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Centre for the Arts in Society (LUCAS)
Het Leiden University Centre for the Arts in Society (LUCAS) onderzoekt beeldende kunsten, design, film, fotografie, digitale media en literatuur in de westerse wereld.
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Two-Prover Bit-Commitments: Classical, Quantum and Non-Signaling
This thesis considers multi-prover commitment schemes whose security is based on restrictions on the communication between the provers.
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Geometry and Topology in Active and Driven Systems
The key characteristic of active matter is the motion of an emergent collection (such as a flock of birds), which is driven by the consumption of energy by its active components (i.e. individual birds).
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Pharmacogenomics in Drug Development: Implementation and Application of PKPD Model Based Approaches
Model based approaches, integrating physiological parameters or linking exposure with response, are powerful tools to quantify and evaluate the impact of genetic differences that are reflected as variability of drug exposure and/or clinical response(s). This thesis “Pharmacogenomics in Drug Development: …
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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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Unconditionally secure cryptographic protocols from coding-theoretic primitives
This dissertation presents new cryptographic protocols, which can be divided into two families.
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A European Ministry of Finance?
Op 21 oktober 2021 verdedigde Frederik Behre het proefschrift 'A European Ministry of Finance?'. Het promotieonderzoek is begeleid door promotor prof.dr. S.C.G. Van den Bogaert.
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On the geometry of fracture and frustration
Promotor: Prof.dr. M.L. van Hecke, Co-Promotor: V. Vitelli
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Resistance to PARP inhibition by DNA damage response alterations in BRCA1/2-deficient tumors
Inactivating mutations in BRCA1 or BRCA2 genes predispose to several types of cancer.
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Ruthenium-peptide conjugates for targeted phototherapy
As leading cause of death worldwide, cancer is responsible for nearly 10 million deaths in 2020 according to World Health Organization (WHO). Cisplatin and its derivatives are commonly used chemotherapy agents for current cancer treatment in the clinics.
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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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Samenwerking
Onze AI-wetenschappers werken nauw samen met onder andere de TU Delft en de Erasmus Universiteit.
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PLGA-based particulate vaccine delivery systems for immunotherapy of cancer
Promotores: W. Jiskoot, F. Ossendorp
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Atomic Insights into Hydrodesulfurization
Hydrodesulfurization (HDS) is an ubiquitous part of oil refining that ensures that fuels are cleaned of impurities and environment release of pollutants such as SOx and NOx gasses are minimized.
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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.
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The ins and outs of ligand binding to CCR2
Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: L.H. Heitman
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Spectral imaging and tomographic reconstruction methods for industrial applications
Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.
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Deciphering the complex paramagnetic NMR spectra of small laccase
Multicopper oxidase, laccase, can efficiently reduce oxygen to water and are mostly used in the enzymatic biofuel cells.
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Allosteric modulation and ligand binding kinetics at the Kv11.1 channel
Promotor: Prof.dr. A.P. IJzerman, Co-Promotor: L.H. Heitman
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Structure-reactivity relationships in glycosylation chemistry
In a typical glycosylation reaction, a donor is activated to form a (variety of) electrophilic species which can react with a nucleophilic acceptor, following a reaction mechanism having both SN1 and SN2 character.
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Visualizing strongly-correlated electrons with a novel scanning tunneling microscope
Materials with strongly correlated electrons show some of the most mysterious and exotic phases of quantum matter, such as unconventional superconductivity, quantum criticality and strange metal phase.
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
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Probing molecular layers with low-energy electrons
Molecular materials have been a subject of interest in fundamental research and applications for decades, and have been studied as bulk crystals, (thin) films and as individual molecules, due to the large variety in their properties. This dissertation explores pentacene crystals near the two-dimensional…
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Activity-based protein profiling of glucosidases, fucosidases and glucuronidases
Promotores: H.S. Overkleeft, G.A. van der Marel, Co-promotor: B.I. Florea
- Kunstgeschiedenis
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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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Flexibele leerroutes
Laat je op deze pagina inspireren door best practices van onderwijsvernieuwende voorbeelden die in ons onderwijs invulling geven aan de ambitie Flexibele leerroutes.
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Leiden Learning & Innovation Centre
LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.