1,973 zoekresultaten voor “computational modelling” in de Publieke website
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Dark ice chemistry in interstellar clouds
This thesis is largely an experimental study on the formation of solid-state simple and complex organic molecules in the H2O-rich and CO-rich ice phases of dense interstellar clouds and dark cores.
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Two-Prover Bit-Commitments: Classical, Quantum and Non-Signaling
This thesis considers multi-prover commitment schemes whose security is based on restrictions on the communication between the provers.
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Clavis Aurea? Structure-enabled approaches of identifying and optimizing GPCR ligands
Promotores: A.P. IJzerman, H.W.T. van Vlijmen
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Inhibitors and activity-based probes for β-D-glucuronidases, heparanases and β-L-arabinofuranosidases
Glycosidases (GHs) are enzymes responsible for the degradation of carbohydrates and play many roles in human health and pathophysiology. Often, abnormal levels of glycosidase activity are markedly linked to human pathologies.
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The hunt for frozen organic molecules in space
Complex Organic Molecules (COMs) have been detected in objects across different stages of stellar evolution.
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Vervolgopleidingen
Wil je een volledige academische opleiding? Dan ga je na je bachelor door met een masteropleiding. Met een masterdiploma op zak heb je meer kans op een baan op academisch niveau. Na afronding krijg je de titel Master of Arts (MA).
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Towards automated identification of metabolites using mass spectral trees
Promotor: Prof.dr. T. Hankemeier, Co-promotor: Theo Reijmers
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Regulation of actomyosin contraction as a driving force of invasive lobular breast cancer
In this thesis, we used genetically engineered mouse models and a variety of cell-culture based assays to identify genes and pathways that are involved in the development and treatment of invasive lobular carcinoma (ILC).
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Amie Corbin
Wiskunde en Natuurwetenschappen
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Dirk-Jan Kok
Wiskunde en Natuurwetenschappen
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Weilin Huang
Wiskunde en Natuurwetenschappen
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Mathilde Verdam
Faculteit der Sociale Wetenschappen
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Anne Uilhoorn
Wiskunde en Natuurwetenschappen
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Carina Harpprecht
Wiskunde en Natuurwetenschappen
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Myrthe Veenman
Faculteit der Sociale Wetenschappen
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Franz Wurm
Faculteit der Sociale Wetenschappen
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Jinhui Zhou
Wiskunde en Natuurwetenschappen
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Geert-Jan Will
Faculteit der Sociale Wetenschappen
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Nicolas Navarre
Wiskunde en Natuurwetenschappen
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The endocannabinoid system in zebrafish larvae
In this thesis, we have studied the potential of the zebrafish larval model in studying the ECS, as a complementary model to the existing rodent models.
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Akrati Saxena
Wiskunde en Natuurwetenschappen
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Felix Frohnert
Wiskunde en Natuurwetenschappen
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Nils Thonemann
Wiskunde en Natuurwetenschappen
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Studying the Benefits of Using UML on Software Maintenance: an Evidence-Based Approach.
Including modelling as part of software development appears to have various benefits.
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Data Science
Het merendeel van de wetenschappers, van archeologen tot zoölogen, verzamelt enorme hoeveelheden gegevens. Hun databanken bevatten grote hoeveelheden informatie die voor de mens moeilijk te filteren zijn. Met een stevige basis in de statistiek en de computerwetenschappen kunnen we algoritmes ontwikkelen…
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Systematic investigations into the role of ceramide subclass composition on lipid organization and skin barrier
The lipids in the uppermost layer of the skin, the stratum corneum (SC), play an important role in the skin barrier function. The three main SC lipid classes are ceramides (CER), cholesterol and free fatty acids.
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Into the Darkness: Forging a Stable Path Through the Gravitational Landscape
In this thesis we study the landscape of gravitational models which modify GR by introducing an additional scalar degree of freedom (d.o.f.) to source Cosmic Acceleration.
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Phenotypic screening with 3D cell-based assays
Traditional drug discovery approaches have been hampered by (in vitro) cell-culture models that poorly represent the situation in the human body.
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Random walks and the contact process
Promotores: W. Th. F. den Hollander, M.O. Heydenreich
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Towards predictive cardiovascular safety: a systems pharmacology approach
Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski
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Novel pharmacometric techniques to quantify the pharmacodynamics of analgesics
The overarching clinical aim of this thesis was to improve pharmacological pain management by characterizing the pharmacodynamics of analgesics. This promotion has been awarded the predicate cum laude.
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Explorations of Water Oxidation Catalysis in Explicit Solvent
In the search for sustainable energy solutions, the idea of artificial photosynthesis has been proposed as an approach with which to use water and sunlight to produce hydrogen.
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Adsorption and catalysis on Pt and Pd monolayer-modified Pt single crystal electrodes
The focus throughout this thesis will be on gathering fundamental studies of the detailed structure and composition of the electrode/electrolyte interface effect on the rate and mechanism of key electrocatalytic reactions.
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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SMALL Savannah : an information system for the integrated analysis of land use change in the Far North of Cameroon
Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan
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Samenwerkend leren bij lerarenopeldingen
Het ontwikkelen, gebruiken en evalueren van groepsopdrachten in het hoger onderwijs.
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Functions of leptin in tuberculosis and diabetes: multi-omics studies across species
In this thesis, I study 1) metabolic alterations in tuberculosis related to wasting syndrome in human patients as well as in rodent and fish animal models. 2) effects of the mutation of the leptin gene on cachexia and diabetes in rodent and zebrafish animal models.
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GLOBOX
GLOBOX is a spatially differentiated multimedia fate, exposure and effect model. It is used for the calculation of spatially differentiated LCA characterisation factors on a global scale.
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron (Chalmers Univ., Sweden)
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Gibbs-non-Gibbs transitions and vector-valued integration
Promotor: W. T. F. den Hollander, F. H. J. Redig
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Semi-partitioned Scheduling and Task Migration in Dataflow Networks
Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov
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Impact of low-carbon electricity development on carbon emissions in China
Low-carbon (LE) technologies have a significant potential to reduce the total carbon emissions in China.
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Atomic Insights into Hydrodesulfurization
Hydrodesulfurization (HDS) is an ubiquitous part of oil refining that ensures that fuels are cleaned of impurities and environment release of pollutants such as SOx and NOx gasses are minimized.
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Probing new physics in the laboratory and in space
The Standard Model (SM) of particle physics fails to explain several observed phenomena and is incomplete. In order to resolve this problem, one may extend the SM by adding new particles.
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Playing dice with the Universe
The ultimate goal of cosmologists is to find a cosmological model able to explain the current observational data.
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Boosting the host immune system to fight tuberculosis
New drugs for use as tuberculosis (TB) treatment are needed due to the constrains of classical antibiotics against TB and the rise of antibiotic-resistant strains, making TB a harder and harder disease to treat.
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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ReCiPe
The ReCiPe methodology for Life Cycle Impact Assessment (LCIA).