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are: • Knowledge of university processes and structures What we offer: Work-life balance: Our employees enjoy flexible working hours. Inspiring working atmosphere: You are a part of an interdisciplinary and
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the mechanistic and evolutionary drivers of patterns and processes from gene regulation to the structure and function of ecosystems and the impact of communities on the biogeochemical cycles and their adaptive
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better understand the mechanistic and evolutionary drivers of patterns and processes from gene regulation to the structure and function of ecosystems and the impact of communities on the biogeochemical
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, human-computer interaction, public health, or a related field. Quantitative research skills, including data analysis with SPSS, R, JASP, jamovi or similar software. Experience in planning and conducting
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medical image processing Fluent in English (written and spoken); German is desirable but not required What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid (upon
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Scientist (f/m/d) for System Transition Modelling & Policy (Full time / Part-Time: 25+ hours / week)
the question of how transition processes and policies can be designed to best contribute to the solution of major societal challenges. Therefore, our scientists place a research focus on the design and analysis
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Methodological skills: Python, Fortran, C, C++ High performance computing Good didactic skills High written and oral expression skills Computer user skills Excellent command of English Ability to work in a team We
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achievements Additionally, the following skills would be desirable: • Experience with teaching • First publication experience • Experience with interdisciplinary research • Knowledge of structures and processes
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university teaching Excellent knowledge of German and English We explicitly encourage applications from candidates qualified to supervise master's theses (those who have completed the habilitation process
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Above-average academic success (at least in the field of civil and corporate law) Excellent computer skills (MS-Office) Experience in working with databases Very good written and spoken English Very good