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Archiv-Übersicht     Angebot Nr. 12535

Angebotsdatum: 4. Dezember 2017
Art der Stelle: Doktorarbeit
Fachgebiet: Biologie > Sonstiges
Titel des Themas: Uncertainty Quantification in Dynamic Biological Systems

Institut: Dynamic Systems, Laboratory of Systems and Synthetic Biology, Wageningen University and Research Center, The Netherlands
Adresse:
Prof. Christian Fleck
Stippeneng 4
6708 Wageningen, The Netherlands
Tel.:    Fax.:
Bundesland:
Homepage:
E-Mail Kontakt: mail

Beschreibung: Uncertainty can enter mathematical models and experimental measurements in various contexts. The study of the behaviour of parameterized non-linear dynamic models is often impeded by lack of knowledge of a subset of parameters (uncertainty) and/or non-uniqueness (variability) of another subset of the parameters. A core topic in the field of uncertainty quantification is the question how uncertainties in model inputs are propagated to uncertainties in model outputs. How can one characterize the distribution of model outputs, given the distribution of the model inputs? Clearly, straightforward Monte Carlo sampling can be used, but in practice, considerations of efficiency and computational cost often preclude this approach. Among others uncertainty quantification methods such as stochastic collocation, polynomial chaos expansion, generalized polynomial chaos and stochastic Galerkin methods have been employed.

This Ph.D. position on Uncertainty Quantification is in the context of Predictive Food Modelling or Predictive Food Microbiology. Gene expression is a fundamentally noisy process, giving rise to a significant cell-to-cell variability at the phenotype level. The phenotypic noise is manifested in a wide range of microbial traits. Heterogeneous behaviour of individual cells is observed at the growth, survival and inactivation responses and should be taken into account in the context of Predictive Food Microbiology. The Ph.D. project will be embedded in a larger project in which we aim to build a transparency cloud solution for the food supply chain that gathers the detailed data on each product unit on its way to the consumer and to use this data to improve the current food safety processes.
Methoden: Dynamic Systems, Computer Simulations, Monte Carlo methods, Uncertainty quantification methods
Anfangsdatum: 4. Dezember 2017
Geschätzte Dauer: 3 Jahre
Bezahlung: Brutto: 2800 Euro
Papers:
Sonstiges: This is a project at the interface between applied science and business and is part of a larger project centred around the food-tech start-up tsenso.

For this position we request a solid background in mathematics and physics and an understanding of and interest in molecular biology.
In particular:
• Experience in doing research in a multi-disciplinary team
• Experience in systems biology, mathematical biology, dynamic systems
• True interest in biological problems
• Strong interest in combining different scientific disciplines to develop new insights and skills
• Excellent command of the English language
• Good programming skills (e.g. C, C++, Python, Matlab, etc.)
• Interest in start-up ecosystem and product oriented research

We are:
Wageningen University and Research
The Fleck group is part of the Laboratory of Systems and Synthetic Biology (SSB). Our research focus is on the analysis of dynamic biological networks.
The Laboratory of Food Microbiology (FHM) headed by Marcel Zwietering studies the relevance of pathogenic, spoilage and fermentative organisms in food.

tsenso GmbH
A young, Stuttgart based food-tech start-up providing cloud-based quality analytics for the food supply chain from farm to fork. The Ph.D. position will be sponsored and assigned by tsenso. www.tsenso.com

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