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Archiv-Übersicht     Angebot Nr. 14390

Angebotsdatum: 1. März 2022
Art der Stelle: Doktorarbeit
Fachgebiet: Physik > Angewandte Physik
Titel des Themas: Computational Plant Systems Biology

Institut: Freiburg Center for Data Analysis and Modeling (FDM)
Dr. rer. nat. Christian Fleck
Ernst-Zermelo-Strasse 1
79104 Freiburg
Tel.:    Fax.:
Bundesland: Baden-Württemberg
E-Mail Kontakt: mail

Beschreibung: Morphogenesis and pattern formation is one of the most fascinating topics in biology. In strong contrast to human engineering, pattern in biology occur in a self-organized manner, due to ex-change of information between cells and response to this information by non-linear intra-cellular reaction networks. Plants show a high variety of different patterns, starting from the embryo to the adult plant, where often one pattern builds on top of a previously established pattern. The conceptual understanding of pattern formation is often beyond the intuitive understanding and requires a multi-disciplinary approach, joining forces between biology, mathematics, physics, and computer simulations. This Ph.D. project is a joint project between an experimental group at Cologne University and a Theoretical/Computational group at Freiburg University. The position will be placed at Freiburg.
The successful Ph.D. candidate will develop multi-scale models for pattern formation in plants using computer simulations, analytical methods and machine learning.
Methoden: - Dynamic Systems Theory
- Ordinary Differential Equations
- Partial Differential Equations
- Stochastic Differential Equations
- Agent Based Computer Simulations
- Machine Learning
Anfangsdatum: 1. März 2022
Geschätzte Dauer: 3 Years
Bezahlung: 1650 €/Month
Sonstiges: For this position we request a good background in mathematics, physics, programming, and an interest in molecular biology.
In particular:
• Master’s degree in Physics or Applied Mathematics
• 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
• Excellent programming skills (C++, Python, etc.)
• Excellent command of the English language (German is not required)