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partners to enhance social entrepreneurship education through the development and implementation of innovative digital learning tools. The chosen candidate will lead activities related to the development and
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, with the earliest start date 1 November, 2026. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject descriptions and
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English, both orally and in writing, and you can present your work to both specialists and non-specialists. If you already speak Danish or would like to learn it, this will be an asset in everyday life
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speak Danish or would like to learn it, this will be an asset in everyday life at the university and in Danish society, and language courses are available locally. You are motivated by working in
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https
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culture that prizes diversity, friendliness, and life-work balance. Our team spans five continents and varied worldviews; we treat these differences as a source of learning and strength. Projects are open
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framework for understanding emergent deception in human-AI interaction by uniting behavioural-psychological, economic-strategic, and machine learning perspectives. The postdoc will be jointly supervised by
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institutional development efforts. A central objective of the project is the further institutionalization and implementation of the seizmic APP, a digital learning platform for social entrepreneurship education
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human activities that push species to extinction and potentially disrupts ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation Learning models to understand and