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qualification in a degree programme with a quantitative focus (e.g. economics or statistics); ideally, enrolled in or pursuing a PhD programme in economics, business administration or statistics - Working towards
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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to interdisciplinary research approaches Publications in peer-reviewed journals demonstrating research expertise Proficiency in quantitative data analysis software (R, Python) and statistical methods Strong written and
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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social scientists from a range of Leibniz research institutes in a new multi-year research project on antimicrobial resistance (AMR), including statistical and econometric investigations of country-level
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
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, political violence, and transnational threats to peace and conflict. Strong method skills, including in comparative research or statistical methods. Willingness to work in an interdisciplinary and
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team