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Do you want to help shape the next generation of computer vision and artificial intelligence research in an international, collaborative lab environment? We are looking for an assistant professor
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of Engineering programme as Associate Professor in AI and Computer Vision. You will play a central role in educating future engineers, combining deep technical expertise with close interaction with students in a
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Assistant professor or Assistant professor Tenure Track, Department of Computer Science, Copenhagen Section Department of Computer Science, Aalborg University is hiring Assistant professors
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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positive written assessment of their teaching qualifications. Who we are The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical
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at bachelor's and master’s level, including organizing courses within the Bachelor’s programme in Urban, Environmental, and Energy Planning. You will be responsible for guidance and examination of bachelor's and
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on the emerging organizational, societal and governmental responses to the current transformations of computational practices and digital infrastructures. have comprehensive knowledge of qualitative and quali
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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cooling, and two-phase cooling for very high heat fluxes. You will develop and use Computational Fluid Dynamics models in combination with analytical and reduced-order models, and contribute to publishing