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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
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absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment
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and promotion of teachers and appointment to docent,” available in Section “Instructions to applicants” at: https://www.bth.se/eng/about-bth/vacancies Meriting competencies and experience In
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
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properties, and co-author high-quality scientific publications. Beyond your core research, you will have the rewarding opportunity to mentor MSc or PhD students, sharing your expertise with the next generation
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researchers, we are looking for candidates who have completed their PhD no more than three years before the application deadline. The position is based in the discipline of Gender Studies, within the Department
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systems to communication solutions and biomedical engineering. The Electrical Machines and Power Electronics unit conducts research and education in electrical machines, power electronics, drive systems