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-Mail: recruiting(at)senckenberg.de If you have any specific questions about the position, please contact Prof. Dr. Andreas Mulch at andreas.mulch(at)senckenberg.de For data protection information
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
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following through the online application system - https://www.leibniz-inm.de/en/job-offers-2/ Motivation letter CV (max 2 pages) Publication list Academic transcripts Contact details of 2-3 references
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For any questions on corrent topics, please contact: Prof. Dr. Antonella Di Pizio (a.dipizio.leibniz-lsb(at)tum.de ). More information on the working group can be found here: https://www.leibniz-lsb.de
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in
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the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany). Fellows4Fungi - Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie
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position, please contact Dr. Eike Lena Neuschulz at eike-lena.neuschulz(at)senckenberg.de or Prof. Dr. Matthias Schleuning at Matthias.Schleuning(at)senckenberg.de For data protection information
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. Want to know more about us? Meet us at https://www.ifo.de/en/cesifo/cesifo-homepage . In your new job you can expect... to assist in the end-to-end organization of conferences, workshops and other events
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in