1,376 search results for “computational modelling” in the Public website
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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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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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Deconstructing stability. Modelling changing environmental conditions and man-land relations in the Pleistocene landscape of Twente (2850 - 12
The project Deconstructing Stability aims to improve reconstructions of late prehistoric landscapes and predictive models for the purpose of archaeological heritage management.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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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…
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Computational Approaches to Disease, Signaling and Drug Targets
The Minor Computational Approaches to Disease, Signaling and Drug Targets (CADSDT) is focused on fundamental scientific research required for discovery of new drug targets and development of new drugs.
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Spiking Neural P Systems
Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom
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The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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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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ECOLE: Experience-based COmputation: Learning to optimisE
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…
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FishForPharma: Training network on zebrafish infection models for pharmaceutical screens
How can zebrafish models be used to gain a better understanding of host-pathogen interaction mechanisms and to screen new drugs for infectious disease treatment?
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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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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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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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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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Seascape Corridors: How modelling routes through the sea can illuminate early island culture
What are the capabilities or limitations of traveling between islands and how does this reflect seasonal variation? Is it possible to show higher levels of connectivity between islands based on generated pathways between several sites on two separate islands?
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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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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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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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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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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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‘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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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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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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Multiple Paths. Towards a Performance Practice in Computer Music
This thesis proposes multiple paths towards the development of a performance practice in Computer Music.
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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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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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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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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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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…
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Nuno De Mesquita César de Sá
Science
n.q.de.mesquita.cesar.de.sa@cml.leidenuniv.nl | +31 71 527 2727
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Computational Biology Modeling with Tree Search and Learning
Lecture
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Bergson and the Aristotelian model of immanent teleology
This dissertation addresses the different use of the same philosophical model: immanent teleology. In this work Aristotle, the founder of the study of final causes, is put in relation with the modern French evolutionary thinker Henri Bergson, the philosopher of time. The dissertation tackles the two…
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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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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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Zebrafish: a new engraft model to study Ewing sarcoma progression
Can zebrafish provide a fast, sensitive in vivo vertebrate model for identifying novel mechanisms of Ewing sarcoma progression and for development of new anticancer compounds in a time- and cost-effective manner?
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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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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Computational modeling of pharmacokinetics and tumor dynamics to guide anti-cancer treatment
PhD defence
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Modelling Social Dynamics on Social Media: Networks and NLP
LUCDH Lunch Lecture
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The Chilean Model of Pension Reform as a Lopsided Exportschlager
In this paper, the authors outline how the UK and USA adopt the Chilean pension model without proper attribution, potentially distorting the lessons.
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PROPER: ‘Near-patient’ prostate cancer models for the assessment of disease prognosis and therapy
How to identify patients at risk of developing devastating, metastatic disease and facilitate the development of personalised treatment for prostate cancer patients?
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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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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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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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A computational study of structural and excitonic properties of chlorosomes
The long-held desire - to link structure directly to function and to explain molecular mechanisms based on basic chemical or physical principles - is finally coming closer, satisfying not only our scientific curiosity but also offering new solutions to the many challenges in the field of health, energy…
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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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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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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…