2,340 search results for “modelling 26 simulations” in the Public website
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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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.
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Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
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Applied Psychometric and Sociometric Modeling
This research team is concerned with the measurement and modelling of behaviour, cognition, and unobserved traits (e.g., latent variables, missing data). Central aims include the distillation of a complex set of features into lower-dimensional representations (e.g., factor analysis, IRT), determining…
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Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
- Week 6-7 (15-26 February)
- Week 7-8: 17-26 February 2019
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Systems pharmacokinetic models to the prediction of local CNS drug concentrations in human
Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.
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Cultural evolutionary modeling of patterns in language change. Exercises in evolutionary linguistics
This thesis describes the use of the evolutionary approach in the study of language change, aiming to provide a better insight in the mechanisms that play a role in language change and to validate this approach in the field of language change.
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Precision modeling of breast cancer in the CRISPR era
The molecular mechanisms that instigate a healthy cell to become malignant are fueled by (epi)genetic alterations in so-called driver genes.
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Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
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Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
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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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Strategic research into and development of best practice for, predictive modelling on behalf of Dutch Cultural Resource Management
Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.
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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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Mathematical analysis of systems pharmacology models
Systems pharmacology aims to apply techniques from systems biology to pharmacological models.
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Predictive Pharmacology in Children using Semi-Physiological population modelling
An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.
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Advanced in vitro models for studying drug induced toxicity
Promotor: Prof.dr. B. van de Water, Co-promotor: L.S. Price
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Development of a Dynamic Substance Stock Model
Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.
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José Mogollón
Science
j.m.mogollon@cml.leidenuniv.nl | +31 71 527 7166
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Modelling the interactions of advanced micro- and nanoparticles with novel entities
Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.
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Statistics when your models are wrong
Peter Grunwald
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Quantitative modelling of the response of earthworms to metals
Promotor: Prof.dr. W.J.G.M. Peijnenburg, Co-promotor: Dr. ing. M.G. Vijver
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Mathematical modelling of adverse outcome pathways
In this project, we aim to develop mathematical models to mechanistically and quantitatively predict the dynamics of cellular stress pathway activation and its relation with toxic effects when cells are exposed to various toxicants.
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Case studies in archaeological predictive modelling
ASLU 14
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On metrics and models for multiplex networks
In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.
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Imaging complex model catalysts in action
From surface science towards industrial practice using high-pressure scanning tunneling microscopy.
- Stem Cell Technology for Microphysiological Modeling
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Preparing MFDEs for the Modelling World
Classical mathematical models treat space and time as a continuum, while it is sometimes more useful to regard it as granular. Hupkes is studying what this means for a number of important patterns that are often found in computer calculations and in nature.
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Postdoc Computational Modeling for Drug Safety Prediction
Science, Leiden Academic Centre for Drug Research (LACDR)
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A psycholinguistic model for phonological development
In this research project child language phonology is studied from the perspective of a psycholinguistic speech-production model and this model is in turn studied from the perspective of developmental phonology.
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Predictive Modelling for Archaeological Heritage Management
A research agenda
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Honours Class students succeed and impress at Model EU Simulation event
In Spring 2023, Leiden University’s Faculty of Governance and Global Affairs (FGGA) launched a new Honours Class ‘Model European Union Simulation: Policies, Negotiations and Transatlantic Experiential Learning’.
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Synthetic model microswimmers near walls
Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.
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Zebrafish as vertebrate model of Gaucher disease
Lysosomal storage disorders (LSDs) are a group of orphan diseases characterized by lysosomal dysfunction or impaired lysosomal catabolism and affect collectively about 1 in 5000 live births.
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PKPD and disease modelling in therapy development for amyotrophic lateral sclerosis (ALS)
We aim to gain a better understanding of the natural disease progression of ALS in order to improve clinical trial design and analysis and to support drug discovery and clinical development of new drugs.
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Monsters in the Deep: Using simulations to understand the excess baryonic mass in the centres of high-mass, early-type galaxies
This thesis aims to enhance our understanding of galaxies by testing theoretical models of galaxy formation against observations, particularly in the cases of extreme systems which have been found to have an excess of baryonic mass in their central regions, in the form of either supermassive black holes…
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Computational modeling of tumor growth and metastasis and the role of the immune system in tumor destruction
In this project, we aim to obtain a quantitative understanding of the role of the immune system in tumor regression, of the role of tumor cell heterogeneity in cancer growth and of tumor cell migration properties.
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Spatiotemporal building stock modeling for residential decarbonization in the Netherlands
Decarbonizing the building stock is critical for realizing the climate-neutral target for the Netherlands.
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in special populations: towards semi-physiological pharmacokinetic models
Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen
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and tissue dynamics with cell fate decisions through computational modeling
There is a need for alternative methods to replace, reduce and refine (3R) animal experimentation. Combining experimental data from high-throughput in vitro studies with in silico modeling is a promising approach to unravel the effect of chemicals on living cells and to gain a better understanding of…
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A PostDoc (1fte) related to the EU Horizon project RESOURCE on simulating and analyzing the up-takin
Science, Institute of Environmental Sciences (CML)
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Bayesian uncertainty quantication in complex models
The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.
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Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
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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.
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Circular Economy Modelling for Climate Change Mitigation (CIRCOMOD)
How might we include circularity into the models often used in IPCC reporting (in technical language, how can IAMs, dMFA models and CGE models be integrated?) What are possible futures for global resource use and what are the consequences for greenhouse gas emissions in these scenarios?
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mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling
Source: J Cheminform, Volume 7, Issue 1 (2015)
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)