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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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or study coordination, or at least active involvement in human studies during your doctoral studies Advanced knowledge in statistics and scientific publishing Experience with methods such as BIA
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outstanding PhD in psychology, research experience in aging psychology and development in adulthood and excellent statistical methodological skills. You will have the opportunity to work in a highly motivated
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mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge for omic-scale research questions Scientific publishing experience in renowned, subject-relevant peer-reviewed
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knowledge of statistics (R) Experience with multiverse analysis and open science practices Experience in the measurement and evaluation of eye tracking data is desirable Experience with physiological data