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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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available in the further tabs (e.g. “Application requirements”). Programme Description The Käte Hamburger Research Centre “Dis:connectivity in processes of globalisation” (global dis:connect) at the Ludwig
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by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent
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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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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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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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. Profound knowledge of at least one programming language, preferably Python. Previous experience in machine learning and deep learning. Practical experience with frameworks such as Keras or PyTorch Good
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data science, computer science, physics or a related field. Profound knowledge of at least one programming language, preferably Python. Previous experience in machine learning and deep learning
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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