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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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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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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
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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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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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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties
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Directive as well as projects to mitigate the dangers to democratic governance in Europe arising from processes of digitalisation that remain largely unregulated in either legal or practical terms. • PhD
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and spoken German, English and Japanese Ability to work in a team Additional skills and competence (desirable skills): Knowledge of university processes and structures What we offer: Work-life balance
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written and oral communication skills in German and English • Proficiency in standard office software applications • Familiarity with university processes and structures • Team player and high