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’ active and healthy ageing. Methodologically, the project plans to apply interviews, collect large-scale survey data and conduct one large randomized controlled trial. The application deadline is 15 May
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description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction
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catalysts for C–H activation, or Development of quantum chemical methods for transition metal systems, with a particular focus on methods for large, complex systems (proteins, enzymes, and condensed phases
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interpreting large datasets using statistical programming languages (e.g. R, Python etc.) Proven independent working style, technical problem solving, data analysis and generation of novel ideas Proficient
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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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regularly publish at top ACM conferences and HCI journals, in interdisciplinary venues such as the Big Data & Society journal as well as across venues in the humanities and social sciences. Terms
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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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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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researchers. The group conducts large-scale registry-based research covering all aspects of drug utilization, effectiveness, and safety, using Danish nationwide health registries as well as international data
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must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Some experience with programming and