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networks (CNNs), which identify local correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit
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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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Gionis. The position is part of the European project ARMADA funded by the Marie-Skłodowska-Curie Doctoral Network. The ARMADA project operates within the fast-growing field of Conversational AI, aiming
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should do it — with high assurance. Our project aims to integrate Linear Temporal Logic (LTL) and the Planning Domain Definition Language (PDDL) to build a more expressive and efficient framework
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following years. Your work will be guided by experienced researchers in your advisory group, but you will also benefit from the broad range of competences and networks of the full ANAFOR team. Qualifications
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collaboratively; and strong communication skills. The applicant should be able to communicate freely in oral and written English Your workplace Linköping University is one of the leading AI institutions in Sweden
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environment with the opportunity to network with both the business community and international contacts. More information about the department: Department of Applied Animal Science and Welfare Read more about
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others, we are a key partner in the joint SLU and Umeå University - CERE ; we host the head office of European Forest Institute’s Forest Bioeconomy Network . The Department has strong domestic and