Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Utrecht University
- Leiden University
- University of Twente
- Wageningen University and Research Center
- Radboud University
- CWI
- Erasmus University Rotterdam
- KNAW
- ; Max Planck Institute for Psycholinguistics
- Universiteit van Amsterdam
- Wageningen University & Research
- 2 more »
- « less
-
Field
-
collected in these trials will feed into the development of the Human Dietary Digital Twin—a computational model for the prediction of individual metabolic responses to complex meals. This modeling work will
-
complex urban settings. Together with researchers from the fields of energy modelling, social network analysis and governance, you will develop new spatial energy concepts to integrate the social
-
’, i.e. policies that deal with problems after they occur, rather than long-term prevention. By developing innovative simulation models that incorporate the life-course consequences of policy options, your
-
early steps in lung tumor development. You will use cutting-edge techniques including lung organoid models, single-cell transcriptomics and epigenomics, and CRISPR-based genetic perturbation. Key
-
for delta adaptation and development under uncertain changing conditions? How can we sequence measures that are made in different regions, e.g. using modelling tools? What is the timing of decisions and what
-
theoretical problems. Good computational/programming skills in Matlab or Python High proficiency in written and spoken English Research at our Faculty The Faculty of Science is a world-class faculty where staff
-
the modelling and prediction of the dynamic interaction between proteins and small-molecule ligands, such as hormones, neurotransmitters, or therapeutic drugs. The computational representation
-
, analysing the data, developing prognostic and simulation models and writing scientific articles. The PhD position is embedded in the research programme Operations of FEB’s Research Institute, while building
-
to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
-
. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective