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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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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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that candidates have to fulfill, be sure to check what these are before you apply. Instructions on how to apply For more information and documents/templates/europass link, please visit https://www.ambercofund.eu
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. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external funding e.g
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University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from
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or question-answering for Nordic use cases). Qualifications: A Ph.D. or similar qualifications in Computational Linguistics, Computer Science, or a related field (e.g., cognitive science), specializing in
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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frequently applied non-target and suspect screening based on high resolution mass spectrometry (HRMS), combined with both gas chromatography (GC) and high performance liquid chromatography (HPLC). Likewise
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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection
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Applications are invited for a 1-year Postdoc position in the field of Intelligent Control for Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark