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, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory or instrument responsibilities
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professional development opportunities (including methodological consulting and media technology programming) Mobile working option (hybrid), subsidy towards the Deutschlandticket as a job ticket, occupational
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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
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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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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modeling, but with a strong background in physics and good programming skills. Further Information The AWI is characterized by The AWI is characterized by our scientific success - excellent 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 teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so. The salary is paid according to the German TV-L system (the salary agreement for public service
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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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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory