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secure and efficient procedures for managing and storing large volumes of research data in various forms. We offer this opportunity in an engaging and inspiring research and educational environment with
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early-onset depression. The goal of this project is to harness big data to stratify risk for early-onset depression. The goal of the Danish work package, which is led by Dr. Katherine Musliner at the AU
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-CRAFT will be to support research activities of the staff and research students (at BSc, MSc, and PhD levels) in data management, analysis and statistics. This will include maintaining and supplementing
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of health care and treatment. A large number of projects in the department are carried out in cooperation with Danish and international collaborators. About the research project The position entails research
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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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infection and inflammation, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the
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expected to publish your research in peer-reviewed scientific journals and technical reports, write research proposals for external funding, and supervise MSc and PhD students. Where required, you will apply
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research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
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administrative staff, and students. You should also be structured and meticulous in your work, which is essential when collecting and managing research data. Qualifications You are expected to hold a MSc or PhD
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well as selectable traits during long-term syngas fermentation. Of particular interest are metabolic and ecological niches as they arise within the dynamically changing physical-chemical environment of large scale