3,514 search results for “modelling ” in the Public website
-
Minimal structure modeling
Existing work in probabilistic language modeling can be mostly divided into two categories:
-
Biotic ligand models
Description of Biotic ligand models: making an inventory of available models & assessment of the variability of the predicted HC5 using the BLMs in different Dutch water types (2005 - 2007)
-
Systems Modelling Lab (SML)
Mathematical models of software systems enable characterizations, abstractions, simulations, and analysis of complex software during its development.
-
PhD Competence Model
In 2016, Dutch University Medical Centres (UMCs) developed the self-evaluation tool based on the PhD Competence Model. Our partners at Utrecht University are making a digital version of the tool available free of charge for our PhD candidates at Leiden University, including for candidates who are not…
-
Mathematical modelling of advanced herbal extraction
Can the (industrial) herbal extraction process be mathematically described and can this model be used to optimize the extraction in terms of quality and economical parameters?
-
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.
-
Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
-
Abstract Behavioral Specification: unifying modeling and programming
We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.
-
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…
-
Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
-
Synthetic model microswimmers near walls
Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.
-
Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
-
Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
-
Animal models for cutaneous vaccine delivery
Main challenges in skin vaccination are overcoming the stratum corneum (SC) barrier and targeting the antigen presenting cells (APC) in the epidermis and the dermis.
-
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.
-
Mathematical analysis of systems pharmacology models
Systems pharmacology aims to apply techniques from systems biology to pharmacological models.
-
Development of a Dynamic Substance Stock Model
Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.
-
Statistics when your models are wrong
Peter Grunwald
-
Computational modeling of angiogenesis: from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
-
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.
-
Case studies in archaeological predictive modelling
ASLU 14
-
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.
-
Imaging complex model catalysts in action
From surface science towards industrial practice using high-pressure scanning tunneling microscopy.
-
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.
- Stem Cell Technology for Microphysiological Modeling
-
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.
-
Predictive Modelling for Archaeological Heritage Management
A research agenda
-
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.
-
Agent Based Modelling for Archaeologists (ABMA)
The Agent Based Modelling for Archaeologists (ABMA) project is dedicated to developing Open Educational Resources (OERs) and accompanying materials for agent-based modelling (ABM) in Archaeology.
-
Modeling energy conversion dynamics at interfaces
Chemical reactions go hand-in-hand with an energy exchange with the environment in which they take place. Surfaces offer a variety of energy dissipation channels, constituted by the nuclear and electronic degrees of freedom of the atoms at the interface. Aiming at an improved future harvesting of energy,…
-
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.
-
Computational modeling of cellular dynamics in tumor cell migration
Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches.
-
Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
-
Harnessing zebrafish xenograft models for ocular melanoma treatment discovery
The aim of this thesis was to develop novel treatment strategies for different types of eye melanoma utilizing zebrafish models. We first establish orthotopic and ectopic xenograft models for uveal and conjunctival melanoma by engraftment of the immortalized cells derived from these tumors into zebrafish…
-
Invasive plant species, models for evolutionary change
Which traits did change due to the invasion process of plants and how do these traits contribute to the invasiveness of such species. What is the role of carbohydrate accumulation? What is the function of carbohydrate accumulation in plants? Is genetic variation depleted in invasive species under se…
-
In vivo modelling of Ewing sarcoma in zebrafish
Promotores: Prof.dr. P.C.W. Hogendoorn & Prof.dr. H.P. Spaink, Co-promotor: Dr. B.E. Snaar-Jagalska
-
Modelling the role of cytotoxic T lymphocytes in tumour regression
Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system.
-
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.
-
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.
-
Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
-
Advanced in vitro models for studying drug induced toxicity
Promotor: Prof.dr. B. van de Water, Co-promotor: L.S. Price
-
Quantitative modelling of the response of earthworms to metals
Promotor: Prof.dr. W.J.G.M. Peijnenburg, Co-promotor: Dr. ing. M.G. Vijver
-
Quantitative systems pharmacology modeling of biotherapeutics in oncology
In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development.
-
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.
-
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?
-
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.
-
Development of Generalized Squared Distance Logistic Model (GSDLM).
The objective of this project is the development of a new psychometric model, called the Generalized Squared Distance Logistic Model (GSDLM). This model is an evolution of older psychometric approaches (such as PARELLA, GHCM, and GGUM) and the Gaussian Ordination Models (GOMs) used in environmental…
-
The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander
-
Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
-
Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald