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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 5 days ago
programming skills in general • Basic knowledge of German (level A2) • Excellent command of English, both written and spoken (level C1) LanguagesENGLISHLevelExcellent LanguagesGERMANLevelBasic Research
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Biology Building (UBB). The AC is grounded on basic research on animal behavior and cognition, but aims to connect researchers from related fields of expertise within the Faculty of Life Sciences, such as
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of qualification theses Participation in the self-administration of the university, the department, the institute and the environmental and agricultural sociology working group Knowledge transfer and engagement in
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of Vienna Biology Building (UBB). The AC is grounded on basic research on animal behavior and cognition, but aims to connect researchers from related fields of expertise within the Faculty of Life Sciences
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Building (UBB). The AC is grounded on basic research on animal behavior and cognition, but aims to connect researchers from related fields of expertise within the Faculty of Life Sciences, such as
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the University of Vienna Biology Building (UBB). The AC is grounded on basic research on animal behavior and cognition, but aims to connect researchers from related fields of expertise within the Faculty of Life
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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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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 1 month ago
of position 3) Very good command of English (C1), Good knowledge of German language (B2) 4) Excellent communication skills and interdisciplinary team-work orientation. Additional Information Additional
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good knowledge of sociological theories in the fields of music and arts and of empirical research methods Ongoing publication activity and attendance of conference Specific Requirements Knowledge
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with biological knowledge using AI/ML and other computational approaches in cancer and immunology research. We focus on approaches that produce robust, reliable, and ideally interpretable results