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electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and to enable new components
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electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will enhance the translation of research into real-world applications. The 17 Doctoral
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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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computing. The long-term goal of the project is to develop nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain. It will also be naturally connected to new
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. These insights will then be applied to design and test multivalent, protein-based nanoparticle vaccines that display the selected epitopes in a controlled and optimized manner. Qualifications Requirements
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to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science