Ongeveer 3 uur geleden - Maastricht University (UM) - Maastricht
The postdoctoral fellows will perform cutting-edge research in methods and applications related to data science.
Eindhoven University of Technology (TU/e) has the following vacancy for a
PhD student ÂMetabolic resilience in overweight individuals" in the research group of Prof. Natal van Riel in the Computational Biology group at ...
TU Eindhoven - together with Maastricht University (UM), Wageningen University (WUR), and University of Amsterdam, Academic Medical Center (AMC) and the companies Caelus Health and Unilever R&D Vlaardingen - will start a project to study metabolic resilience in overweight individuals by developing a large collection of personalized, dynamic models. The project is funded by the NWO Complexity in Health and Nutrition program.
Overweight and obesity are refractory conditions of human physiology. By using personalized computer models of human metabolism understanding is obtained about the dynamics of the 'obese system' and whether the effects of changes in nutrition and gut microbiota on metabolic health can be predicted.
The project hires a PhD student at TU Eindhoven (dr. Natal van Riel) and a post-doc at WUR (dr. Lydia Afman), both working on computational modeling.
The PhD candidate at the TU/e will develop and apply dynamic models of human metabolic physiology. Data from our partners is used to calibrate (parameter estimation) and further develop the differential equation models of post-prandial metabolism. Data from 317 overweight individuals is available, which has been obtained in response to a mixed meal challenge test at baseline and after diet interventions. The data include time course metabolomics of different classes of metabolites and time-series measurements of hormones in blood plasma. The models are applied to study metabolic regulation and adaptation under dynamic physiological conditions. Methods from dynamical system theory will be used to study hypotheses about robustness and transitions after changes in nutrition.
Tasks and responsibilities:
We are looking for high-level candidates with an MSc degree in engineering and life sciences (biomedical engineering, biotechnology, bioengineering) with specialization in computational modelling, computational biology, dynamical system theory, or equivalent. He or she should be interested in quantitative methods, modelling and data integration with affinity for human metabolism and its regulation.
The candidates should have:
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