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. Members benefit from strong international connections and opportunities for collaboration. In particular, the Graz group will work in close synergy with Alessia Platania’s parallel research group
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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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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 1 month ago
based in the research group “Historical Building Research” (Head G. Styhler-Aydın) of the Department of Historical Archaeology (see https://www.oeaw.ac.at/en/oeai/research/historical-archaeology
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research and daily work An attractive salary package according to the Austrian Science Fund FWF . Where to apply Website https://st-anna-kinderkrebsforschung.onlyfy.jobs/application/en/apply/23pyze6i7
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available1Company/InstituteThe Institute of Iranian Studies (IFI)CountryAustriaGeofield Contact City Vienna Website http://www.oeaw.ac.at/en/ifi STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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dynamics, applying advanced non-targeted metabolomic approaches using high-resolution mass spectrometry, including data processing, metabolite annotation and identification workflows, as
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the major challenges of society and share their knowledge. We work for tomorrow. Be part of it! Contact Univ.-Prof. Dr. Nassim Balestrini Where to apply Website https://jobs.uni-graz.at/en/jobs/4599b836-e150
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employment. Please find all details at: https://www.tuwien.at/en/mg/geo/news/news-detail/news/researcher-in-gnss-reflectometry-vegetation-mapping Where to apply E-mail apply@geo.tuwien.ac.at Requirements
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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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