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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high
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infrastructure for conducting high-quality research Work with globally unique analytical measurement International, interdisciplinary work environment on an attractive campus (AEG Campus), including many
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scan data is desired Familiarity with analytical tools such as R or Python for statistical and phylogenetic comparative analyses Experience with scientific writing and publishing in peer-reviewed
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
Planck School of Photonics or the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The PhD student will work on novel AI-aided data analytics, especially
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analytical polymer chemistry as well as in membrane technology Knowledge in the field of alkaline solid electrolyte polymers and their application in electrochemical membrane processes such as fuel cells and
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; safe handling of inert gas techniques; knowledge of analytical methods for molecular chemistry; Microsoft Office and chemical software handling; confident presentation of scientific results in English
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience