59 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Leibniz in Germany
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-mail is questionable from a data protection point of view. The sender bears full responsibility. The GWZO was awarded the TOTAL E-QUALITY prize, i.e. equal opportunities in terms of gender and diversity
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integrate into our databases) integrate living synthesis pipelines into human-in-the-loop processes (e.g. Cochrane crowd or NACSOS ) evaluate and develop automation tools for information extraction help us
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, transcriptomic and phenotypic data to generate mechanistic insights into metabolic adaptation Prepare scientific reports, presentations and manuscripts to communicate project results to the international community
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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Research Data Center , the IWH hosts a wealth of commercial databases via WRDS and other platforms, provides access to proprietary microdata on banks and firms via research collaborations, and pursues
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to work independently, establish new techniques and present data (scientific writing and oral communication) Fluency in both oral and written English At least basic German language knowledge Experience with
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the institute, and a dedicated, powerful bioinformatics server infrastructure has been established for data analysis. We seek an enthusiastic scientist with interests in bioinformatics, microbiology, and
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focus on topics of the department and in particular on determinants and development of socio-emotional and cognitive competencies, preferably with data from the National Educational Panel Study Exchange
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and conducting psychological experiments, with a strong focus on the collection, analysis, and interpretation of neuroimaging data using EEG, fMRI, and combined EEG–fMRI techniques. Your Qualifications
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responsibilities: support our research on the political economy of climate policies take part in data science and empirical analyses contribute to assessments of cause-effect-relationships in the domain of climate