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econometric time series analysis, focus group discussions, and a choice experiment. Hence, we seek a candidate having expertise with some of these methods, and interest and capacity to learn the others. It is
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) properties and the digestibility (rate and extend of bioavailability). The results will be used for data driven machine learning, in collaboration with other partners in the project. Who are we looking for? We
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the disparities. While foundation models offer great promise for creating more robust machine learning models for a wide array of tasks, it remains an open problem how to foresee their biases across that wide array
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and exciting environment with plenty of opportunities for collaborations. In your role as a postdoc, you will focus on the formal verification techniques for process models, and the application
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employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research
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immunologists, geneticists, data scientists, clinicians and many more disciplines. PREDICT also has strong international collaborations across the world. Learn more about PREDICT here: www.predictibd.dk Bluesky
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materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within the project. Your main
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using different materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within
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, housing, amongst others, ASO and RAMA. Other key project collaborators will include colleagues from RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at University of Oslo (Norway) and
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support society's need to regulate fishing. The section is internationally recognized and has a strong collaborative network within the development of fisheries technology. We offer a rewarding and