1,005 search results for “computational modelling” in the Public website
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Scientific computing for Drug Discovery in Python and/or R
Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.
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Quantum computation with Majorana zero modes in superconducting circuits
Promotor: C.W.J. Beenakker, Co-Promotor: A.R. Akhmerov
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
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Development of innovative engineered models for viral diseases
A main goal of MSBB research is to address the major bottle-necks in combatting viral diseases: the lack of experimental models that are representative of human pathology and are cost effective and versatile. Viral diseases such as those that cause viral hemorrhagic syndromes or severe acute respiratory…
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‘Ūd Taqsīm as a Model of Pre-Composition
In this research project Rohana analyzes and reflects on taqsīm recordings by two leading figures of ‘ūd playing who were pillars of modern Arabic music, namely the Egyptians Muḥammad al-Qaṣabjī (1898-1964) and Riyāḍ al-Sunbāṭī (1906-1981).
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Non-Abelian metamaterials: emergent computing and memory
In the traditional theory of linear elasticity, superposition dictates that the response of a material does not depend on the sequence of the applied mechanical actuations.
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Handbook of Natural Computing
Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information…
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Highly sensitive analysis using 3D cell culture model
A research goal for ABS is to develop miniaturized platforms for research in (stem)cell, in-vitro systems and application in clinical and preventive research. Combined with the high throughput, this development will make it possible to study the dynamics of pathogenesis in human and cellular models…
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Microscopy and Spectroscopy on Model Catalysts in Gas Environments
In surface science there is great effort to move from studying simple, flat model surfaces in vacuum to investigating more complex model catalysts in gas environments (in situ). This thesis gives three examples of such studies using microscopy and spectroscopy.
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Global Scenarios of Environmental Impacts with Structural Economic Models
To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.
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Quantitative pharmacological modelling for optimizing treatment of sepsis
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial…
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Macrophage cell models for the investigation of Gaucher disease
Gaucher disease is a rare metabolic disorder, in which a mutation of the enzyme glucocerebrosidase (GBA1) causes buildup of its substrate glucosylceramide and the deacylated counterpart glucosylsphingosine in lysosomes.
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Towards High Performance and Efficient Brain 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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spatial-temporal brain drug distribution with a novel mathematical model
A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Biomimetic models of [NiFe] hydrogenase for electrocatalytic hydrogen evolution
The growing demand of energy indicates that global energy resources in the form of fossil fuels will not be sufficient in the future. In order to solve potential future energy problems development of a sustainable hydrogen economy is highly desirable.
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Getting personal: Advancing personalized oncology through computational analysis of membrane proteins
Cancer is considered the silent pandemic of the 21st century and the second leading cause of death worldwide.
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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.
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Duality, bosonic particle systems and some exactly solvable models of non-equilibrium
Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander
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Bioinformatics Data analytics Computational Biology
LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.
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Faster X-ray Computed Tomography in Real-World Dynamic Applications
This dissertation investigates how the efficiency of Computed Tomography (CT) can be improved for dynamic scientific and industrial applications.
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Pollinators in complex landscapes Modelling and mapping the distribution of wild bees and hoverflies in the Netherlands
This thesis explores how bees and hoverflies are distributed across the Dutch landscape and how ecological and landscape factors shape their occurrence.
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The parabolic Anderson model on Galton-Watson trees
The parabolic Anderson model (PAM), which is the Cauchy problem for the heat equation with random potential. The PAM is a mathematical model that describes how mass (i.e. matter or energy) flows in a medium in the presence of a field of sources and sinks.
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Lattice models for Josephson junctions and graphene superlattices
In this thesis we study quantum transport phenomena on the nanometer scale, in two classes of materials: topological insulators with induced superconductivity and graphene superlattices.
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Minipigs as an Animal Model for Dermal Vaccine Delivery
Appropriate animal models for intradermal vaccine delivery are scarce. Given the high similarity of their skin anatomy to that of humans, minipigs may be a suitable model for dermal vaccine delivery.
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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Modelling the role of mycorrhizal associations in soil carbon cycling: insights from global analyses of mycorrhizal vegetation
In this PhD study, I aim to deepen our understanding of the influence of major mycorrhizal types, namely arbuscular mycorrhizae (AM) and ectomycorrhizae (EM), on the global soil carbon cycle and their potential distribution changes under future environmental shifts.
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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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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Microphysiological liver systems for in vitro modeling and industry implementation
This thesis tackles the difficulty of predicting the liver’s clinical response to novel therapies, a challenge arising from interspecies differences and limitations of existing in vitro models.
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The power of biotic ligand models : site-specific impact of metals on aquatic communities
Promotor: Prof.dr. G.R. de Snoo, Co-promotores: Dr. ing. M.G. Vijver, J.P.M. Vink
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Arthur RonnerFaculty of Science
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High-throughput simulation studies of angiogenesis - Reverse engineering the role of tip cells and pericytes in vascular development
Promotor: Prof.dr. R.M.H. Merks
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Development of a Kidney-on-a-Chip Model for Compound Screening and Transport Studies
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer…
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Emergence of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication
Human language is constantly evolving with its linguistic structure being shaped by language users at both individual and population levels. Focusing on the interplay between processes of language acquisition and communicative need in shaping human languages, this thesis introduces a novel computational…
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The use of computational toxicology in hazard assessment of engineered nanomaterials
Assessing the risks of engineered nanomaterials (ENMs) solely on the basis of experimental assays is time-consuming, resource intensive, and constrained by ethical considerations (such as the principles of the 3Rs of animal testing). The adoption of computational toxicology in this field is a high p…
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Predict the tip - conflict as an early warning signal of social tipping points
Current social norms are unsustainable, making behavior change crucial for addressing the climate crisis. Social norms can shift rapidly after tipping points, but these are often only recognised in hindsight. To promote change, we need better predictive power, i.e. ability to detect early warning signs…
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Using a practical teaching model by beginning teachers learning to design lessons.
Beginning teachers often experience difficulties making activating lessons. This study investigates how and if the practical teaching model can offer them a hand in learning to design lessons.
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Advances in GPCR Modeling Evaluated by the GPCR Dock 2013 Assessment: Meeting New Challenges
Source: Structure , Volume 22, Issue 8, pp. 1120-1139 (2014)
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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.
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Synthetic, Physical and Computational Chemistry of Propeller-shaped Polycyclic Aromatic Hydrocarbons
This thesis systematically studies the physicochemical properties of non-planar, propeller-shaped, polycyclic aromatic hydrocarbons. The synthesis of several so-called propellerenes is described on a gram scale, using optimized procedures aimed at using less hazardous reagents and reducing the amount…
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In vitro model systems for studying the impact of organic chemicals on the skin barrier lipids
This paper describes two synthetic lipid models designed to replace human stratum corneum (SC) in studies of the impact of volatile organic chemicals on the molecular organization of the skin barrier lipids.
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Computational approaches to dissociative chemisorption on metals: towards chemical accuracy
We review the state-of-the-art in the theory of dissociative chemisorption (DC) of small gas phase molecules on metal surfaces, which is important to modeling heterogeneous catalysis for practical reasons, and for achieving an understanding of the wealth of experimental information that exists for this…
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Computational aspects of class group actions and applications to post-quantum cryptography
Most of current public-key cryptography is considered insecure against attacks from sufficiently powerful quantum computers. Post-quantum cryptography studies methods to secure information resistant against such attacks. One proposal is isogeny-based cryptography, which bases its security on computational…
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Impact assessment modelling of matter-less stressors in the context of Life Cycle Assessment
Promotores: Prof.dr. G.R. de Snoo & Dr. R. Heijungs
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
M. Danhof, Co-promotor: O.E. Della Pasqua
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From Text to Knowledge: Language Models for Knowledge Graph Extraction and Ontology Learning
This PhD project investigates how language models can be used to extract structured knowledge from text in a way that is accurate, robust, and applicable to real-world use cases.