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) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge of European marine ecosystems as
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. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13. This is a part-time position with a weekly working time of 30 hours per week. Key responsibilities: PIK
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funded until June 2027. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13. This is a full-time position with a working time of 40 hours per week. The
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, the University of Greifswald, the Leibniz Institute of Atmospheric Physics (IAP), and the German Aerospace Center (DLR) Who are we? The IOW is an independent research institute of the Leibniz Association for which
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or interest in game theory, tax competition and fiscal federalism, welfare economics, environmental economics, public economics is a plus Ideally Working knowledge of programming languages such as Mathematica
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interdisciplinary perspectives excellent communication skills in English (both written and oral) a willingness to engage with and learn the programming languages and software tools necessary for the modeling work. We
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and actual work settings. Tasks include: Developing research paradigms Programming experiments and analyzing data Presenting results at conferences and writing research articles Supervising research
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analyses (e.g., Linkage, QTL and GWAS analyses). Hands-on experience in phenotyping plants (e.g., cereals) is a must. Experience with molecular, cytological and/or biochemical techniques or R programming is
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to the research and application context in teacher education Excellent English language skills We Offer: An excellent research environment for linking basic and applied research, located in central Tuebingen
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contribute to practical supervisory implementation Your Profile: Enrolment in a Ph.D. programme or Ph.D degree or Masters with 3-4 years of relevant professional experience in Economics, Sustainable Finance