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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
would like to hear your motivation and future research plan. The position offers to: Develop and maintain local and international interdisciplinary networks Create original research of the highest
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funding. Development of national and international networks and collaborations in research. Your specific tasks will consist of Designing distinct strategies for engineering crops for beneficial association
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students, Postdocs and Professors which means you can grow your network and get experience in research We are a young, interdisciplinary team that aims to create impact with our research. We provide a
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accountability for their environmental impact? How can international regulatory and reporting standards reflect the actual environmental damage from AI use? What networks have been formed to influence regulation
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development of networks. This will be an advantage and may cover experience as editor and/or reviewer for peer-reviewed journals, organizing conferences or the like, participation in boards of directors and
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collaboration. We also provide active support for developing courses, securing research funding (Danish and EU), and building a strong professional and academic network. Responsibilities You will co-lead the
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biotechnology and green technologies Support for your professional development, including training, and networking opportunities A chance to contribute to impactful projects driving the future of sustainable bio
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research and teaching qualifications at a high international level. You have extensive collaborative skills and a broad academic network which you can bring into play both nationally and internationally. You
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development position with the possibility of transition to a tenured associate professorship. We will work together with you to develop your research talent through supervision, professional networks and
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and