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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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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
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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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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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• 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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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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-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
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heterostructure samples. Basic skills in scientific programming and open-source transmission electron microscopy software are an advantage. Excellent command of written and spoken English (C1 Level or equivalent