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Description 3 x Academic Researcher (m/f/d) (TV-L E 13, 100%, Service Location: Clausthal-Zellerfeld) The research group Dependable and Autonomous Cyber-physical Systems (DACS) at the Institute
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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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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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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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of science, education, culture, economics, society, technology and the environment. The school of Mechanical Engineering and Safety Engineering, Chair of Materials Science and Additive Manufacturing (head
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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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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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through the DAAD Portal in the period between 4 November and 4 December. Application documents Documents to be uploaded to the DAAD portal: Information Sheet Online application form Full curriculum vitae in
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Opportunities Office provides further information (Tel.: 05323-72-3106). Severely disabled people are given preference if they are equally suitable. Proof must be attached. Applications from people of all