Institutions: University of Luxembourghttps://orcid.org/0000-0002-8071-7110
Associate Professor for Systems Biomedicine, Luxembourg Centre for Systems Biomedicine, University of Luxembourg
PoLiMeR is funded through the EU Marie Skłodowska-Curie Innovative Training Network (ITN), which drives scientific excellence and innovation. ITNs bring together universities, research institutes, industry and clinical partners from across the world to train researchers to doctorate level.
Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease
CropClock - Increasing Crops Biomass by Uncovering the Circadian Clock Network Using Dynamical Models
The circadian clock is an internal timing system that allows plants to predict daily and seasonal changes in light and temperature and thus to adapt photosynthesis, growth, and development to external conditions. The core oscillator is well understood in the model plant Arabidopsis, however, relatively little is known about the dynamic effects of the clock on agronomic behaviour of crop plants.
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Biomining is a biotechnological process carried out in many parts of the world that exploits acid loving microorganisms to extract metals from sulphide minerals. One industrial biomining method is called ‘heap bioleaching’ where typically copper containing minerals are piled into very large heaps, acid and microorganisms are added to the top and the soluble metal is collected at the heap base.
The role of the different types of microbes in the process is to speed up metal solubilisation by oxidising
Systems Biology studies the properties and phenotypes that emerge from the interaction of biomolecules where such properties are not obvious from those of the individual molecules. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex