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in instrumentation and fundamentals of mass spectrometry, as well as skills in data analysis, statistics, and/or visualization is an advantage. Our offer a position for one year, with the possibility
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change in crisis responses over the long term. You will combine historical source research with digital methods to analyse large-scale corpora of textual and/or visual sources. You will work with existing
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workflows, turning geodata into new answer maps. Knowledge graphs can be used to model these transformations and to link geodata sources to questions. In this project we will apply symbolic and sub-symbolic
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analysis, visual methods, and mix-method (statistics, other quantitative and qualitative research) skills; Strong scientific English writing skills; an experience in academic or professional publishing is a
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case study analysis and comparative analysis are desired; experience in institutional analysis or discourse analysis, or GIS is a plus; Excellent command of English; knowledge of at least one language of
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skills in case study analysis and comparative analysis are desired; experience in institutional analysis or discourse analysis, or GIS is a plus; Excellent command of English; knowledge of at least one
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; develop the statistical analysis plan; perform statistical analyses on the associations of air pollution and heat with asthma and lung function, using standard methods (e.g. discrete-time hazard models
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molecular research ranging from biochemically purified molecules to tissue analysis and is embedded within the EM Centre that also serves non-life science users. You will assist users, providing expert
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researchers to design and develop a wide range of innovative projects, for example involving causal inference, machine learning, text analysis, or large-scale data integration. You support ODISSEI users via
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causal inference, machine learning, text analysis, or large-scale data integration. You support ODISSEI users via consultations and collaborative research, train researchers through workshops, and mentor