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-reviewed journals Experience with one or more scripting language (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can biologically interpret results and relate to breeding decision making
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, with a close to 50-50% gender balance. Our working language is English. We are highly interdisciplinary and include experts within biomedical engineering, neuropsychology, pharmacology, biophysics
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. Introduction The SDU Software Engineering section at the Maersk Mc-Kinney Moller Institute (Faculty of Engineering) invites applications for a 2-year postdoctoral position in the intersection of edge computing
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language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
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based Bachelor and Masters students and visiting staff and students, who together contribute to an international research environment where English is the preferred language in the laboratory, at meetings
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. 80 thesis based Bachelor and Masters students and visiting staff and students, who together contribute to an international research environment where English is the preferred language in the laboratory
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, 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 medical degree programme. Academic staff
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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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of multiple matrices, is comfortable with research communication to a variety of audiences, speaks a Nordic language. Furthermore, the candidate should be well-organised and able to structure complex tasks