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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/ )at the Department
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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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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 days ago
of programming Experience of R, Python and MySQL English language Good communication skills in written and spoken English language (B2 level) Ideally, should also have: Experience in statistical analysis and
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whole genome, metagenomic and metatranscriptomic, as well as plant transcriptomic datasets with an emphasis on statistical methods. You will also work towards the integration of these multi-modal datasets
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18 Apr 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Economics and Statistics Research Field Economics Researcher Profile Recognised Researcher (R2
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analysis About you Ongoing studies (preferably at the end of a bachelor's- or beginning of a master's degree) in economics, statistics, or a similar field A core requirement is strong proficiency in R
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focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities
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. Possible areas of training or research experience include statistics, literature reviews, interviews, and legal analysis What We Offer: On the basis of full-time employment (40 hours/week) the minimum salary
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. Dr. Martin Hiebl, P +43 732 2468 7043, E-mail: martin.hiebl@jku.at . Exertion place address Altenberger Straße 69, 4040 Linz Where to apply Website http://www.jku.at/career Requirements Research
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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