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workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
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through a system, and using them to make AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something
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of innovative teaching methods, documented through a teaching portfolio native or near-native command of French. Furthermore, it will be considered an advantage if applicants can document: a track record of
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) CV including employment history, list of publications indicating scientific highlights, H-index, and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience
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) for their Master’s Thesis/final exam. Please visit the website of the Doctoral School for further information on admission requirements. For this PhD position, command of written and spoken Danish
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for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching
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successful candidates will join a growing research programme focused on understanding how regulatory protein states control cellular function. Our research combines state-of-the-art mass spectrometry
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, data science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics
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major challenges facing society, such as pollution and pollution control mechanisms, land management, soil, water, air and biodiversity, protection of ecosystem services, climate change, and energy
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and other postdoctoral researchers as part of our Lundbeck Professorship grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a postdoctoral researcher your