Sort by
Refine Your Search
-
• Outstanding dissertation • IT skills and outstanding competence in multivariate statistics. • Outstanding competence in the programming language R. • Experience in teaching statistics. • Research
-
teaching of the bachelor's and master's degree programs in philosophy as well as the MA program in Epistemologies of Science and Technology. In these areas, you will regularly teach courses on topics such as
-
field • Creativity, curiosity, and a proactive approach to problem-solving • Ambition to plan and conduct independent research that pushes the boundaries of science • Strong English communication
-
related fields Basic knowledge of programming (preferably Python; R or MATLAB also accepted with willingness to switch) Experience in quantitative data analysis Interest and/or experience in landslide
-
• Excellent knowledge of quantitative and/or qualitative statistical analysis methods (experience in statistical programs such as SPSS, R, MAXQDA) • Experience in research management and in leading project
-
doctoral students You publish in international journals and teacher journals You apply for projects and acquire third-party funding You plan and organise professional development courses You collaborate with
-
: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
-
-ecology-evolution.univie.ac.at/phd-programme/vdsee-completion-grants/ to apply and to find detailed information on requirements and application documents. Applications must be submitted via the VDSEE
-
website https://vds-ecology-evolution.univie.ac.at/phd-programme/vdsee-completion-grants/ to apply and to find detailed information on requirements and application documents. Applications must be submitted
-
and spoken English IT skills, especially in the area of word processing, PowerPoint, study administration programs and e-learning programs Organizational and teamwork skills First practical experience