16 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Linköping University
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for Computer Vision conducts research and education in machine learning for computer vision at the undergraduate, advanced, and PhD levels. CVL has been identified as an outstanding Swedish research environment
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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totaling 60 ECTS credits) and join an international research team with backgrounds in sociology, political science, network science, statistics, and machine learning. More information on the PhD program can
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We are now looking for our new PhD who will join us in our poject in ELLIIT , Linköping University. Your work assignments The selected candidate will conduct cutting-edge research on unconventional
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computer graphics. Great emphasis will be placed on personal qualities and suitability. Your workplace You will belong to The scientific visualization group that is a part of Media and Information
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if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you
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interdisciplinary, applied research with expertise in visualization, design, computer graphics, and the learning sciences. The research nexus for the division is the Visualization Center C, a unique science center in
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application! We are now looking for a PhD student in Energy Systems for a project on industrial sustainability and digitalization. Your work assignments The industry is facing major challenges related to energy
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental