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suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a Scientific
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opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and, therefore, especially encourages them to apply. Further information: Please contact Prof. Dr. Gianni
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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, therefore, especially encourages them to apply. Further information: Please contact Prof. Dr. Gianni Panagiotou | https://www.leibniz-hki.de/de/mbd-mitarbeiter-innendetails.html?member=865 | +49 3641 532
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training students Maintain analytical equipment Cooperate with other large collaborative projects of the research group Qualification: Required: A diploma and a PhD in microbial natural product chemistry
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will be destroyed according to data protection regulation. For further information regarding the position and research unit, please contact Prof. Dr. Deniz Tasdemir by e-mail (dtasdemir(at)geomar.de