13 knowledge-representation Postdoctoral positions at University of Southern Denmark in Denmark
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-world challenges. We encourage and support our postdocs to publish their research in renowned journals and conferences, and to engage in knowledge exchange with colleagues and external research and
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knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position. Further information
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for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open
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experience and knowledge with animal models of disease are major requirements. Ability to work in a structured and independent manner. Good communication skills and high proficiency in English. Good
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these deficits can be detected and compensated. Using various experimental procedures, these knowledge gaps will be tackled. Novel diagnostic tests will be developed, allowing the underlying mechanisms to be
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experimental procedures, these knowledge gaps will be tackled. Novel diagnostic tests will be developed, allowing the underlying mechanisms to be studied and deficits to be detected. Furthermore, novel
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expertise in Arctic Climatology, Sea-Ice conditions, Anthropology, or other similar fields, preferably with a focus on Arctic Cultures. More specifically, the focus is loss of Indigenous knowledge and culture
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scenarios). Written and spoken language proficiency in English Knowledge on environmental system analysis, industrial ecology, or similar expertise. Ability to work in an international multidisciplinary
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-world challenges. We encourage and support our postdocs to publish their research in renowned journals and conferences, and to engage in knowledge exchange with colleagues and external research and
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Network (SNN) algorithms. Candidates, who will complete and defend their PhD thesis by the end of 2025, are welcome as well: Strong expertise in algorithm development for neural networks. In-depth knowledge