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disciplines strong 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
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with scientific programming (e.g., MATLAB, LabView) is advantageous Knowledge of scientific instrumentation and electronics is desired Experience with (or willingness to learn) stop-flow spectroscopy and
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research If you are interested in a PhD, there is the possibility to support you in this endeavour We offer Secure remuneration according to the collective agreement (TV-L) including the usual social
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Germany in a real campus university with an internationally acclaimed central building by Daniel Libeskind and the directly adjacent Wilschenbruch nature reserve, a high level of job security as part of
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. Please upload the letter under 'Commitment letter from future university superior' in the DAAD portal. Declaration from the scientific supervisor in Germany on safety-relevant and ethical aspects