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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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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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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
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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process engineering and covers a large part of the TRL ladder. This includes basic research as well as activities within demonstration and pilot-scale testing of renewable energy technologies. Co-operation
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process engineering and covers a large part of the TRL ladder. This includes basic research as well as activities within demonstration and pilot-scale testing of renewable energy technologies. Co-operation
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine