2,831 zoekresultaten voor “russian he literature from en popcultuur” in de Publieke website
-
Islam en samenleving
Kennis van moslimsamenlevingen is onmisbaar om in een geglobaliseerde wereld te kunnen functioneren en om onze eigen Nederlandse maatschappij goed te begrijpen. In Leiden verdiepen onderzoekers zich in de talen, cultuur, religie, rechtssystemen en geschiedenis van moslimsamenlevingen en zetten daarmee…
-
Onderzoekers
In dit interdisciplinaire onderzoeksprogramma werken onderzoekers uit vijf verschillende disciplines met elkaar samen. Zij stellen zich hieronder (in het Engels) aan u voor.
-
Sustainable Development
This interdisciplinary minor addresses sustainabilty challenges from a systems perspective, and investigates ways to sustain society within planetary boundaries.
-
Na je studie
Na het ontvangen van je diploma van LUC, kun je als alumni overal ter wereld heen. Velen die je voor zijn gegaan hebben ervoor gekozen om een master als vervolgopleiding te doen. Sommigen beginnen meteen aan hun professionele carrière of volgen een PhD. Door de vele academische vakgebieden die op LUC…
-
Onderwijs
Aan de Universiteit Leiden worden cursussen over papyri en papyrologie aangeboden voor beginners en gevorderden (BA en MA), zowel op basis van teksten in vertaling als in de originele brontalen, van Egyptisch tot Grieks, Latijn en Arabisch.
-
Image and Identity in Chinese Historic Houses
How and to what extent the historic house (re-)constructs identity through image-making in China.
-
Empathic or anxious mistakes?
A neurocognitive investigation of the development of social performance monitoring in youth growing up in stressful versus non-stressful environments
-
Broadening Youth Participation in STEM Learning
How can we broaden youth participation in STEM Learning
-
Publicaties door Erfgoed Gezocht
Lees hier de publicaties die over het Erfgoed Gezocht project zijn verschenen.
-
Experience Day Science for Sustainable Societies
Studievoorlichting
-
Experience Day Science for Sustainable Societies
Studievoorlichting
-
Flow: A study of electron transport through networks of interconnected nanoparticles
This thesis describes a study from both a theoreticaL and an experimental point of view.
-
Electrical and magnetic properties of ferritin: electron transport phenomena and electron paramagnetic resonance
Ferritin is a spherical metalloprotein, capable of storing and releasing iron in a controllable way. It is composed of a protein shell of about 12 nm and within its cavity, iron is stored in a mineral form.
-
Modelling metastatic melanoma in zebrafish
Death in all types of melanomas is generally caused by metastasis. Uveal melanoma (UM) is the most common intraocular melanoma, there are currently no (patient-derived) animal models that faithfully recapitulate metastatic dissemination of UM.
-
Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
-
The stochastic geometry of non-Gaussian fields
Promotor: V. Vitelli, Co-promotor: J. Paulose
-
Molecules during stellar formation and death
Promotor: Prof.dr. E. F. van Dishoeck
-
Lipid mediated colloidal interactions
The lipid membrane is a basic structural component of all living cells. Embedded in this nanometer-thin barrier, membrane proteins shape the membrane and at the same time respond to the shape of the membrane.
-
Approach to Markov Operators on Spaces of Measures by means of equicontinuity
The subject of this thesis, ‘Approach to Markov Operators on Spaces of Measures by Means of Equicontinuity’, combines an analytical and probabilistic approach to Markov operators.
-
Biophysical feedbacks between seagrasses and hydrodynamics in relation to grazing, water quality and spatial heterogeneity
Consequences for sediment stability and seston trapping
-
Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
-
Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron (Chalmers Univ., Sweden)
-
Matchmaking for open innovation: perspectives on multi-sided markets
Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)
-
Microengineered Human Blood Vessels For Next Generation Drug Discovery
Heart failure is a major health care problem with high mortality.
-
Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
-
Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
-
Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
-
Astrophysical plasma modeling of the hot Universe: Advances and challenges in high-resolution X-ray spectroscopy
Hot astrophysical plasma is ubiquitous in the Universe, from comets in our Solar system to the largest scale structures -- the cosmic web filaments. These hot plasmas, with the temperature of a few millions of degrees, are often observed in the X-ray wavelength range.
-
A semisynthetic peptide-metalloporphyrin responsive matrix for artificial photosynthesis
This thesis is concerned with the constitution of chiral responsive matrix assemblies that may undergo light-driven conformational changes and self-select vibrations to develop vibronic states for driving semi-classical coherent transfer with nearly 100% yield in a lossless NCAP process.
-
Distant star formation in the faint radio sky
One of the key quests in astronomy is to study the growth and evolution of galaxies across cosmic time. Radio observations provide a powerful means of studying the formation of stars and subsequent buildup of distant galaxies, in a way that is unbiased by the presence of dust.
-
Advances in SQUID-detected Magnetic Resonance Force Microscopy
In this thesis, we describe the latest advances in SQUID-detected Magnetic Resonance Force Microscopy (MRFM).
-
Reactivity of cobalt(II)-dichalcogenide complexes: correlation between redox conversion and ligand-field strength
The redox-conversion reaction of metal-disulfide and metal-thiolate complexes are important, as they may shed light on electron-transfer reactions that often occur in Nature.
-
Selectivity and competition between the anodic evolution of oxygen and chlorine
Sustainable energy from wind and solar is most readily available near the sea.
-
Anthracycline biosynthesis in Streptomyces: engineering, resistance and antimicrobial activity
Actinobacteria are well known for the production of bioactive natural products, many of which have applications in the fields of human, animal and plant health. Subject of this thesis are the anthracyclines, glycosylated aromatic polyketides with potent anticancer activity.
-
Solution in Dissolution: dynamics and fate of metal-based nanoparticles in toxicity assessment
Dissolution processes – next to aggregation processes - play an important role for fate prediction and environmental risk assessment of metal-based nanoparticles (MNPs). It is challenging to predict the kinetics of the dissolution process of MNPs in complex systems such as we can find in in vivo and…
-
Measuring gold molecular gas across cosmic time
Tracing the evolution of the molecular gas content in galaxies is critical for a complete understanding of galaxy formation and evolution, as it provides the direct fuel for star formation. Studies of high-redshift (z>1) molecular gas reservoirs, most commonly traced by carbon monoxide (CO), have seen…
-
Surviving embryogenesis: The extraembryonic serosa protects the insect egg against desiccation and infection
Promotor: Prof.dr. H.P. Spaink, Co-promotor: Dr. M. van der Zee
-
Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: Prof.dr. J.P. Abrahams, Co-Promotor: N.S. Pannu
-
Trans-kingdom DNA transfer
The type-IV secretion system (T4SS) is a machinery able to transfer DNA and proteins between bacteria and in certain cases also to eukaryotic cells.
-
Orchid mycorrhizal interactions: evolutionary trajectories and ecological variations
The mycorrhizal symbiosis is among the most widespread species interactions on Earth. This thesis focuses on orchid mycorrhiza, a unique mycorrhizal type that has caught scientists’ attention for centuries.
-
Shining Light on Interstellar Matter
Promotor: H.V.J. Linnartz
-
Visual Relation extraction Based on Deep Cross-media Transfer Network
Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.
-
Towards responsible and resilient mineral supply chains, with case studies on cobalt, antimony, and zinc
To meet the rising demand for minerals driven by the global shift to clean energy technologies, ensuring responsible and resilient supply chains is critical. Minerals like cobalt, lithium, and nickel for batteries, neodymium and zinc for wind turbines, and indium for solar panels are essential.
-
Cheating belowground interactions
Mycoheterotrophy is a particular mode of life in which plants obtain carbohydrates from their associated fungal partners, instead of by using photosynthesis.
-
Novel detectors and algorithms for electron nano-crystallography
Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel
-
Stress-induced protein dynamic and growth arrest in C. elegans during development
During post-embryonic development into adults, animals face an environment that fluctuates constantly. For example, in nutrient availability, temperature, and osmolarity (e.g., salt concentration).
-
Quantitative pharmacology of antimicrobials
Antimicrobial drugs constitute a fundamental part of modern medicine. The global rise in antimicrobial resistance poses a major threat to global health.
-
Giant unilamellar vesicles: An efficient membrane biophysical tool and its application in drug delivery studies
Promotor: A. Kros
-
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…
-
Leiden Learning & Innovation Centre
LLInC ondersteunt innovatief en hoogwaardig onderwijs, binnen de Universiteit Leiden en in samenwerking met onderwijs- en maatschappelijke organisaties.