75 coding "https:" "https:" "https:" "I.E" positions at University of Vienna in Austria
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for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
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. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The research group Statistical Analysis and Inference (STAIN) (https://stain.univie.ac.at
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, Innovation, and Strategy, and receive the following benefits on a 30-hours/week contract (full time, i.e., 40 hours/week, gross monthly salary of the B1 salary group according to the Collective Bargaining
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are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a
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exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School Computer Science DoCS (https
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, and power, but also other topics in philosophy of technology are welcome. Further information can be found here: https://philtech.univie.ac.at/ https://coeckelbergh.net/ Your duties will include active
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/InstituteUniversity of ViennaCountryAustriaGeofield Contact City Vienna Website https://berufungsservice.univie.ac.at/en/ Street Universitätsring 1 Postal Code 1010 STATUS: EXPIRED X (formerly Twitter) Facebook
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sequencing etc.) Expertise in at least one lineage of land plants (i.e., a taxonomic focus) Experience with at least one coding language or a strong background in statistics Experience with high-performance
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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF project