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/PhD in a mathematical branch of study Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences Ability to integrate
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, biostatistics, and bioinformatics Expertise in the analysis of biological aging Experience in handling large datasets, as well as knowledge in data processing, analysis, and visualization of complex data, e.g
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economic education Excellent knowledge of written and spoken German and English Very good MS Office skills Scientific curiosity and interest in working on current research questions Independent working style
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Profile Completed diploma or master’s degree in the area psychology Scientific curiosity and interest in working on current research questions Excellent knowledge of written and spoken German and English
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Excellent knowledge of written and spoken German and English Very good IT skills High level of commitment and motivation for scientific work Ability to conduct independent research Communication skills and
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) Proven motivation for autonomous research, capabilities to build up an independent research profile in the field “Catalysis for Plastics Recycling and Upcycling” Excellent knowledge of the English language
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abroad during academic career Management and leadership experience Gender mainstreaming and diversity management skills Excellent knowledge of German and English Selection Criteria The successful candidate