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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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or related disciplines, and previous experience with ONT sequencing. Previous experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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inferential statistics, survey design) Strong analytical and writing skills Publication record in international journals Advanced English language competency (speaking and writing for academic contexts) (min
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), or a related field; • Strong programming skills; • Data analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods
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related field; • Strong programming skills; • Data analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods
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degree Very good written and spoken English language skills German language skills at the beginning desirable but not mandatory IT knowledge, advanced experience in data management and statistical data
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
publications; ascertained additional trainings and certificates relevant to the field; experiences with SPSS or other statistic programs. LanguagesGERMANLevelExcellent LanguagesENGLISHLevelExcellent Research
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or molecular/cancer/evolutionary biology) At least one first-author paper in a peer-reviewed journal Strong programming skills (e.g. R or python), experience with bash and a solid understanding of statistics