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systems contain bugs and vulnerabilities which can be exploited by malicious actors. This project will be conducted in the Software Engineering and Security (SES) group. The PhD student will conduct an in
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and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms
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, Sweden (see: opeg-umu.com ). The research will be focused on the development of a novel light-emission technology termed the light-emitting electrochemical cell (LEC). The LEC is currently attracting
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collaboration between two departments in different faculties: The Department of Computing Science (Faculty of Science and Technology), where the PhD student will be part of the AI Policy Lab, an interdisciplinary
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the Faculty of Science and Technology with approximately 200 employees and strong and expanding research. The Department has four major research areas: Biological Chemistry, IBEAM, Organic Chemistry and
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SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize
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Chemistry, Material Science or Physical Engineering, are also welcomed to apply, if the above requirements are fulfilled. Competence and experience in experimental research, including material synthesis
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from blood, offer a minimally invasive approach for early diagnosis and disease monitoring cancer progression and treatment response. However, the current capture methods lack sensitivity and often
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visualization researchers, AI specialists, research engineers, educational scientists, and pedagogues across Linköping University, Visualization Center C in Norrköping, and Umeå University to investigate
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including education details, a list of previous and current positions, and a publication list. Copies of relevant degree certificates. A cover letter describing your research experience and interests, and