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Postdoctoral researcher in Research

vor 2 Monaten


Jena, Deutschland Leibniz Institute for Natural Product Research and Infection Biology Vollzeit

Research areas: mathematical modeling, state-based and agent-based modeling, game theory, etc.
In the research group Applied Systems Biology, a position for a doctoral researcher becomes available. The position is associated with aspects of the image-based systems biology approach. This modern computational approach comprises the automated analysis of microscopy and/or spectroscopy data based on state-of-the-art methods from machine learning as well as the computer simulation of mathematical models using advanced modeling approaches. Doctoral degree in physics, computer science, bioinformatics, or a related discipline
an educational background in biology is preferred
Very good programming skills, preferably in C / C++ and/or Python
Good communication skills in English are a must
The successful candidate will be hosted in the research group Applied Systems Biology of Prof. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups. We offer a multifaceted scientific project with excellent technical facilities, a place in a dynamic, committed team, as well as strong scientific collaborations.
Salary is paid according to German TV-L (salary agreement for public service employees).
All qualified persons, regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment.
Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences, and the addresses of two possible referees and should be submitted via the Leibniz-HKI online application system. Leibniz Institute for Natural Product Research and Infection Biology