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This PhD explores light estimation and synthetic relighting of real scenes by combining generative deep learning with computer graphics. It aims to reduce issues such as hallucinations and temporal
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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of Science, University of Southern Denmark (SDU), Odense. We seek a candidate with strong, documented expertise in computational drug design / computer-aided drug discovery. Preferred competencies include
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
contexts is highly desirable. Who are we looking for? The ideal candidate * is a computer scientist, data scientist or an applied mathematician holding a PhD * has a strong record of research at a high
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for you to focus your research activities. Computer and other practical office necessities. Access to well-equipped laboratories. Guidance on re-location to Aalborg, Denmark. Who are you? CNAP recruits
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position on Understanding and
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and supervise PhD and MSc student projects). Qualification: Background in concrete technology and characterisation. Background within image processing, computer vision, or related fields. Background
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student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded