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of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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candidate will possess proficiency in: Policy engagement, stakeholder consultation, and socio-economic analysis in an agri-food context. Advanced communication skills and the capability to interact
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involved in Parkinson’s Disease. This is part of a vibrant multidisciplinary network collaboration headed by Prof. Daniel Otzen, AU, and including collaborators Dr. Simon Glerup (Draupnir and AU), Prof. Mads
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written and spoken English communication skills Following qualifications will be considered as an advantage: Integration of remote sensing datasets into hydrological workflows Experience working with
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communication skills Following qualifications will be considered as an advantage: Experience with super-resolution techniques and physics-informed machine learning. Familiarity with explainable AI methods (e.g
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++ or Python Working knowledge of ROS Publication experience Excellent communication and language skills Teaching experience Preferred skills: Experience with UAV control Concrete experience in machine learning