1,333 search results for “computational modelling” in the Public website
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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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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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Spiking Neural P Systems
Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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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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Information-theoretic partition-based models for interpretable machine learning
In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.
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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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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander
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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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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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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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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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Karsten Lambers appointed as Professor of Digital and Computational Archaeology
In January, Dr Karsten Lambers was appointed as Professor of Digital and Computational Archaeology at Leiden University's Faculty of Archaeology. With his extensive background in both archaeological research and computational sciences, the installation of Professor Lambers further strengthens this discipline…
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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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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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Post-quantum Security of Cryptographic Transformations in the Random Oracle Model
In cryptography, generic transformations are often used to strengthen simpler but weaker schemes, into more sophisticated and stronger ones.
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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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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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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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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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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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From labelled to the optimal clinical dose: Model-informed dose optimization in medical oncology practice
In this PhD thesis, available data on the PK and/or PD of different targeted therapies, chemotherapy and immunotherapies obtained during both routine clinical practice and prospective clinical studies were analyzed.
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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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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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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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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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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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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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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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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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Arthur RonnerFaculty of Science
a.c.ronner@cml.leidenuniv.nl | 071 5272727
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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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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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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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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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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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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…