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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
to the PhD position must have a relevant Master’s degree (120 ECTS), with experience in Animal Breeding. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g
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inhibition and cellular plasticity are balanced during transitions between homeostasis and tissue regeneration using Drosophila Melanogaster as a model organism. The position is available to start on the 1st
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cases involve various degrees of image analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in
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(Associate Professor level) in the field of in vivo neuronal functional/circuitry 4D studies in rodent models of Parkinson’s disease as per 1 January 2026 or as soon as possible thereafter. The position is a 5
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(Associate Professor level) in the field of live-cell in vitro modelling of Parkinson’s disease as per 1 January 2026 or as soon as possible thereafter. The position is a 5-year, full-time position. A re
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or unnecessary information about personal circumstances in the application. Application You apply for the position online by opening the "apply online" link, where you fill in the application form and attach your
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malignant cellular systems. The research strategy is expected to include the development of novel computational methods to analyze high-dimensional data, as well as the application of in vivo model systems
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and malignant cellular systems. The research strategy is expected to include the development of novel computational methods to analyze high-dimensional data, as well as the application of in vivo model
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usage of drugs. We aim to rapidly evolve and integrate data and modelling heavy research into the pharmaceutical education contributing to progressing the cultures and mindsets of people and organizations
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, BSc, MSc and PhD levels. The position will involve teaching in existing courses and developing new relevant course materials by bringing the newest results from your research into our teaching to