581 zoekresultaten voor “quasi-classical trajectory method” in de Publieke website
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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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Leiden Law Methods Portal
Het ELS lab @Leiden draagt bij aan de Leiden Law Methods Portal.
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Recommended weighting methods
The project falls in the context of the EU Thematic Strategy on the Sustainable Use of Natural Resources (COM(2005)670). The Institute for Environment and Resources (IES) of the Joint Research Centre (JRC) has developed three sets of decoupling indicators. Such indicators require the definition of a…
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The SpeakTeach method
Naar zelfregulerend leren bij spreek- en gespreksvaardigheid in moderne vreemde talen in het voortgezet onderwijs: een adaptieve en praktische aanpak.
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Nonparametric Bayesian Methods in Robotic Vision
In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.
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Effective Methods for Diophantine Equations
Promotor: R. Tijdeman
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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A new method to reconstruct the structure from crystal images
Promotor: J.P. Abrahams, Co-promotor: T. Grüne
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On the amount of sieving in factorization methods
Promotoren: R. Tijdeman, A.K. Lenstra, Co-promotor: H.J.J. te Riele
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Monotonicity and Boundedness in general Runge-Kutta methods
Promotores: M.N. Spijker, J.G. Verwer.
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Teaching PhD Position in Quantitative Systems and Reasoning Methods
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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Personalised medicine for multiple outcomes: methods and application
The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.
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1,2-cis-glycosylations: method development and synthesis of complex oligosaccharides
Promotor: G.A. van der Marel, Co-promotor: D.C. Codée
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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Post-Doctoral Researcher in International Political Sociology (Visual Methods)
Sociale Wetenschappen, Politieke Wetenschap
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amics in zebrafish: integration of experimental and computational methods
The zebrafish is a promising vertebrate model organism in early drug discovery and development.
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: Prof.dr. B. van de Water
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Towards photo-CIDNP MAS NMR as a generally applicable enhancement method
Promotores: Prof.dr. H.J.M. de Groot, Prof.dr. J. Matysik (Universitaet Leipzig)
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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…
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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…
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Structural Properties of Single Server Queueing Systems: Efficient Methods via Lumping and Dynamic Programming
This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.
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Statistical physics and information theory for systems with local constraints
Systems with local constraints is a new finding in recent researches on complex systems. The heterogeneous spatial interactions and the temporal dependencies among those numerous units make it difficult to describe by traditional statistical physics.
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Sneak Peek Leiden Law Methods Portal - Auteurs & Experts gezocht!
Het Leiden Law Methods Portal gaat een nieuwe fase in! De afgelopen maanden hebben diverse collega's teksten aangeleverd voor het (Engelstalige) portal dat gericht is op het inzichtelijk maken van de verschillende fasen van empirisch juridisch en rechtssociologisch onderzoek en in het bijzonder op het…
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Exploring new methods at Research Lab Legal Data Science
How can data analytics be used as a research method in the field of legal research? This question was addressed during the Research Lab Legal Data Science on 23 September, 2016.
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Strategies for Mechanical Metamaterial Design
On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.
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Hulp bij je onderzoek? Ga naar het Leiden Law Methods Portal
Het nieuwe Leiden Law Methods Portal is live. Het portal dient als een eerste aanknopingspunt voorJuridische onderzoekers kunnen hier terecht voor advies en stimuleert en faciliteert empirisch juridisch en rechtssociologisch onderzoek.
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Reinout Heijungs
Wiskunde en Natuurwetenschappen
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Levon Amatuni
Wiskunde en Natuurwetenschappen
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Hanum Atikasari
Faculteit der Sociale Wetenschappen
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Femke Bakker, Hawks and Doves: Democratic Peace Theory Revisited
Femke Bakker, Hawks and Doves: Democratic Peace Theory Revisited
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Light Weighed: On the Statistics and Systematics of Weak Gravitational Lensing
In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.
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Dynamical Gibbs-non-Gibbs transitions: a study via coupling and large deviations
Promotores: F.H.J. Redig, W.T.F. den Hollander
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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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Dancing with the Stars
This thesis develops a method for direction dependent calibration of the ionosphere in radio interferometric data.
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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Changing the Nature of the Beast
Op de eerste dag van jouw nieuwe baan heb je zweethanden, ben je nerveus en onzeker, maar een paar maanden later zijn die gevoelens al weer verdwenen. Je hebt jouw nieuw rol eigen gemaakt en je bent nu onderdeel van de organisatie. Het proces dat daar naar toe leidt heet
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Markus Davidsen
Faculteit der Geesteswetenschappen
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Software development by abstract behavioural specification
The development process of any software has become extremely important not just in the IT industry, but in almost every business or domain of research.
- Launch Leiden Law Methods Portal
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On the 16-rank of class groups of quadratic number fields
Promotores: P. Stevenhagen, E. Fouvry (Univeriste Paris Saclay)
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Shining Light on Interstellar Matter
Promotor: H.V.J. Linnartz
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The SpeakTeach method
Promotie
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Quantification in untargeted mass spectrometry-based metabolomics
Promotor: T. Hankemeier, Co-promotor: T.H. Reijmers
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
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Computational electrocatalysis
This dissertation focused on computational methods based on first principles calculations using the Density Functional Theory (DFT) framework. Emphasis was laid on affordable methods that can provide a tradeoff between computational expense and accuracy.
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Making the invisible visible: paramagnetic NMR and the transient protein complex
Promotor: Prof.dr. M. Ubbink
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PhD candidate FutureU research program
Sociale Wetenschappen