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of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, computer science, information systems, engineering, etc.), united in pursuit of sustainable solutions that positively impact
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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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positions, you expressly agree to the requirements in accordance with the General Data Protection Regulation and to being contacted by mail. Further information on data protection can be found here
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) dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data a comprehensive
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) dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data a comprehensive
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technologies. Collaboration with national and international research partners. Guidance and support from experienced supervisors and fellow researchers. Application procedure For more information please contact
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and complete a PhD dissertation Participate in scientific conferences and events to present research findings and engage with the academic community For more information about the project, please get in
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protocols and generation of data, we can offer a challenging job in a dynamic research environment. The successful applicant will be placed in the research unit Ruminant Nutrition: https://anivet.au.dk/en
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); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data; a comprehensive
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genomic, gene expression and gene regulatory network data sets. We are looking for a highly motivated scientist to work in a dynamic and interdisciplinary academic team focusing on different aspects