PhD Position: Mathematical Modelling of Organogenesis

Updated: about 4 hours ago
Job Type: Temporary

In der aktuellen Covid-19 Situation laufen die Rekrutierungen weiter. Es kann dabei allerdings zu Verzögerungen kommen. Vielen Dank für Ihr Verständnis.

100%, Basel, temporary

The Computational Biology Group (Prof Dagmar Iber) at D-BSSE focuses on image-based modelling and simulation of mouse organogenesis. The Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich is located in Basel, a European hotspot for biomedical research, in close proximity of the University of Basel, the Friedrich Miescher Institute for Biomedical Research, and the pharmaceutical and biotech industry. ETH Zurich is a major research university, offering an excellent environment for innovative and collaborative research across disciplines.

Job description

The PhD position is concerned with the development of mathematical models for organogenesis.

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The successful applicant must be self-motivated and enthusiastic to develop data-based mathematical models in the field of developmental biology. The position is ideal for a student with training in both biology and computational techniques. Candidates must have a solid understanding of biological principles and processes, and must be experienced with using a programming language such as Matlab, Julia, Python, or R. As part of the PhD, the succesful candidate will also use finite element methods such as COMSOL, and C++ software. Prior experience with these is not required.  

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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