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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 days ago
training. Applicants must hold a relevant Master’s degree (e.g., Microbial Ecology, Bioinformatics) and have strong skills in R and Python, sequencing data analysis, and (not obligatory) laboratory
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prestigious peer-reviewed media Experience with grant applications on international and national levels High quality in your own teaching and supervision experience Coding skills (SPSS, JASP, R) Very good
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for pharmaceutical R&D and manufacturing. Design and manage robust data pipelines, ensuring compliance with regulatory standards (GxP, FDA, EMA, EU AI-Act) Acquire and manage research projects (funded or industrial
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for analyzing, processing and providing scientific data to support scientific operations at the DiSC; consolidation and maintenance of software developed at the DiSC (Python, R, C++, web technologies
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quality in your own teaching and supervision experience Coding skills (SPSS, JASP, R) Very good English and German skills (at least C1), preferably good French skills (at least B2) Team player with strong
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the research area of Data Science (data collection, processing, and analysis) Experience in the management of R&D projects Good programming skills in "Python" and/or "R" Specific Requirements Very good written
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-reviewed media Experience with grant applications on international and national levels High quality in your own teaching and supervision experience Coding skills (SPSS, JASP, R) Very good English and German
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, in particular statistics (R); • Teaching skills; • Interest in third mission activities; • High level of written and oral communication skills; • Very good written and spoken English
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analytical skills Proficiency in survey software (especially EVASYS) Knowledge of social science software programmes (such as ATLAS.ti, MAXQDA, SPSS, R) and data science/AI tools Comprehensive knowledge of MS
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analytical skills Proficiency in survey software (especially EVASYS) Knowledge of social science software programmes (such as ATLAS.ti, MAXQDA, SPSS, R) and data science/AI tools Comprehensive knowledge of MS