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require: Completed master or diploma in the atmospheric sciences (e.g., meteorology, climatology), or a related field; Programming and data analysis experience; A good team spirit and willingness
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the team! It is that easy to apply: Application documents should include: letter of motivation including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term
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• Outstanding dissertation • IT skills and outstanding competence in multivariate statistics. • Outstanding competence in the programming language R. • Experience in teaching statistics. • Research
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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
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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
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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
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: 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
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• 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
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-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
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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