Workshop

Cristina Grasseni’s project

We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.

Lezing

Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

This thesis develops a method for direction dependent calibration of the ionosphere in radio interferometric data.

John Boy en zijn collega's van het d12n-onderzoekscluster krijgen een beurs van het Digital Infrastructure Insights Fund D//F.

What are the flows of C&DW (e.g. bricks, concrete, gypsum and wood) in the case study countries ? How to define the specification for each material to be quantified? What indicators should be used to identify the pattern of each C&DW management system? How to interpret the MFA results in relation…

Promotores: A.P. IJzerman, H.W.T. van Vlijmen

In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development.

Denk je aan geesteswetenschappen, denk je misschien niet meteen aan een nieuwe superserver. Toch is die inmiddels net in gebruik genomen. Universitair docent Jelena Prokic van het Centre for Digital Humanities vertelt meer over deze ontwikkeling.

Promotor: Prof.dr. S.F. Portegies Zwart

Promotores: K.J. Batenburg, B. Koren

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

This dissertation focused on computational methods based on first principles calculations using the Density Functional Theory (DFT) framework. Emphasis was laid on affordable methods that can provide a tradeoff between computational expense and accuracy.

Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier

Promotor: T. Hankemeier, Co-promotor: T.H. Reijmers

Promotor: Prof.dr. P. Stevenhagen, Co-promotor: B. de Smit

This thesis focuses on the development of sample-preparation methods for small amounts of samples and applying the developed methods to muscle tissues to investigate the mechanisms involved in sarcopenia.

Metals surfaces form a group of effective catalysts for the reaction of small molecules such as hydrogen (H2).

Lezing

Het Leiden University Centre for Digital Humanities (LUCDH) heeft per 1 februari een nieuwe directeur. Universitair hoofddocent Angus Mol wil in zijn nieuwe rol mensen en kennis verbinden.

The intradermal administration route is attractive for vaccine delivery, because of the highly populated antigen-presenting cells in the skin. However, the skin’s main physical barrier, the stratum corneum, prevents vaccines from entering the skin.

Natural vanilla flavor is one of the most important in the world. However, the cost of this flavor is expensive. Production of this flavor by alternative methods, could reduce the cost.

This thesis covers various applications of topology in condensed matter physics and quantum information.

How can we develop and further improve life cycle impact assessment methods, characterisation factors and normalisation factors?

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

The ReCiPe methodology for Life Cycle Impact Assessment (LCIA).

Promotor: Prof.dr. M. Ubbink

Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit

Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)

Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…

Wiskunde en Natuurwetenschappen, Mathematisch Instituut (MI)

Webinar

The thesis focuses on synthesis strategies in oligosaccharide campaigns, and the influence of protecting groups.

This thesis describes the use of an activity-based proteomics method to study the endocannabinoid system.

n this thesis we study curves. In the first half, we study moduli spaces of curves and Gromov-Witten invariants, certain kinds of curves counts. We employ logarithmic geometry for this.

Circumstellar discs are the reservoirs of gas and dust that surround young stars and have the potential to become planetary systems.