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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the
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related field. Interest in energy markets, digital technologies, policy analysis, or regulatory frameworks. Strong quantitative and qualitative analytical skills. Proficiency in statistical software such as
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We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce
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at the Doctoral School in Humanities and Social Sciences: hold a Master in Quantitative Social Sciences or Statistics Fluent in English Work in an inter-cultural and international environment Work both
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... Master's degree in cognitive science, data science, statistics, computer science or a related field Enthusiasm for interdisciplinary research & research methods Strong analytical skills and a collaborative
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of different energy sources using tailored statistical metrics and indices Publish results in peer-reviewed journals, present findings at international conferences, and collaborate with project partners
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modeling and statistics Experience with research methods and concepts in experimental psychology and cognitive neuroscience (e.g., empirical research, experiment design, questionnaire, EEG) Technical Skills
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ONLINE formally through the HR system. Applications by email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes
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procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our