ITN Network Manager
Verfasst am: 18.02.2020 11:57
Dabei seit: 16.11.2018
The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (Leibniz-HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. We seek a full-time employed and highly committed
Network manager (f/div/m)
for two years initially for the administration and organisation of an EU-funded collaborative research and training network:
Marie Skłodowska-Curie Innovative Training Network
“BestTreat: Building a Gut Microbiome Engineering Toolbox for In-Situ Therapeutic Treatments for Non-alcoholic Fatty Liver Disease”.
Headed by Assoc. Prof. Gianni Panagiotou from the Leibniz-HKI in Jena, eight European academic and non-academic institutes have joined forces to improve the diagnosis and therapy of non-alcoholic fatty liver disease. As part of the Innovative Training Network BestTreat (www.besttreat.eu), which is funded by the European Commission, they train 15 doctoral researchers. Partners from Finland, Denmark, the Netherlands and Germany work together in the network and combine their scientific expertise in systems biology, human biology and microbiology to tackle this complex topic.
The successful candidate will work closely with the coordinator of the training network at the Leibniz-HKI in Jena, Germany, for the funding period of the ITN.
Qualifications and experience:
Life in Jena:
Salary is paid according to German TV-L (salary agreement for public service employees). As an equal opportunity employer the HKI is committed to increase the percentage of female scientists and therefore especially encourages them to apply.
Assoc. Prof. Gianni Panagiotou | +49 3641 5321527 | firstname.lastname@example.org
Complete applications in English should include a CV, a brief statement of work experiences and interests, the addresses of possible referees, and should be submitted by March 15, 2020 via the online application system of the Leibniz-HKI.
Geben Sie Ihren Benutzernamen und Ihr Passwort ein, um sich an der Website anzumelden:
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