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change, macroecology and statistical modelling. We expect applicants to have excellent programming skills, preferably in R. Extent of Employment Job grading in accordance with collective bargaining
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. University-internal structures and programs, such as the Vienna Doctoral School of Ecology & Evolution (VDSEE), the Environment and Climate Research Hub as well as research platforms support the qualitative
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good knowledge of English (C1 or higher) Experience with 3D printing and CAD programs Advanced computer/IT skills (troubleshooting, Windows administration etc.) Reliable, regular presence in
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treatment. Experience in quantum chemistry and reaction dynamics. Interest in applying methods to simulate materials to be used in quantum computation technologies. Strong programming skills, especially in
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social sciences Excellent knowledge of the following statistical software programs: R and Python Experience in science communication and knowledge transfer (preferably with a focus on teaching scientific
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research. You prepare and complete a habilitation (if this is beneficial to your career) You contribute to teaching within the BA and MA philosophy programs by independently teaching courses to the extent
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of these methods and are excited to expand their skillset with the approaches that they are not yet familiar with. Programming skills in python and R with experience in statistical data analysis, especially with
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. English language skills are required. At least some experience in using (Spatial) Data Science libraries and/or Geographic Information Systems (GIS). At least some software engineering and programming skills
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Digitalization Transformation Hub (SSDT Hub) led by Yvonne Franz who is also the director of study program at the department. The SSDT Hub conducts research on the nexus of spatial analysis and sustainability and
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or Computer Science Experience in research management and in leading project staff IT skills and excellent programming skills Knowledge of: exact and metaheuristic solution methods in Operations Excellent knowledge