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information about the department; https://anivet.au.dk/en Contact Further information on the position may be obtained from Senior Researcher Stig Purup, phone: +45 29345955 , email: stig.purup@anivet.au.dk
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scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process
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foods and nutrients, measure dietary intake and body composition by gold standard methods, collect and analyze blood samples and conduct various other assessments of health and development. Read more
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society. Further information on the Department can be found at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Qualification requirements Essential experience and skills: Candidates
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
for ensuring biosecurity for animals kept outdoors Development and evaluation of a training and testing programme targeting European pig inspectors to monitor tail lesions at slaughter The preferred candidate
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recognized for its research in cell and lactation physiology. To support the development of the research area, the candidate is expected to contribute to attracting external funding within this research area
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) development, physicochemical property tuning, and scaffold modification. Applicants must demonstrate a strong track record in medicinal chemistry. The ideal candidate has the following competences and skills: A
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Networks and will contribute centrally to the computational and methodological development of the project. The postdoctoral researcher will collaborate closely with the project’s PIs Aglae Pizzone and Reka
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. Responsibilities and qualifications Your overall focus will be to strengthen the department’s vision and expertise in artificial intelligence for autonomous systems, contributing to the development of intelligent
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proteome coverage by exploiting negative ion mode and advanced fragmentation methods. Within this framework, the postdoc will drive method development and high-level experimental MS studies, including