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                , based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI, Autonomous Systems and Software 
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                description This project is part of the EU-funded “Print4Life” Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader at Uppsala University. This network has 8 doctoral candidate host 
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                biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader 
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                international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ As a PhD student, you devote most of your time to doctoral studies and the 
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                forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ As a PhD student, you devote 
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                characterized despite their importance for scientific and technological applications. The Physics and Applications of Negative IONS (PANIONS) Doctoral Network aims at substantially advancing our understanding 
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                , spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security. We have a wide network of long-standing international collaborators all 
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                staff position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union 
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                educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on 
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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