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research in the broad field of Artificial Intelligence (AI). Specifically, in the robustness, reliability and scalability aspects of AI algorithms (Deep Learning and Reinforcement Learning). She/he is
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the optimization of radio access network and cloud-edge computing continuum for latency-sensitive services, e.g., multi-modal immersive applications. Solutions based on Artificial Intelligence (AI) and Machine
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4 Apr 2024 Job Information Organisation/Company Karlstads universitet Department Karlstad University Research Field Educational sciences » Learning studies Researcher Profile First Stage Researcher
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degree (60 credits) in Computer Science, a Master’s degree (120 credits) in Computer Science or a Master of Science degree in Computer Engineering. A person who, in some other way, in the country or abroad
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, the applicant must have completed a Master’s degree (60 credits) in Computer Science, a Master’s degree (120 credits) in Computer Science or a Master of Science degree in Computer Engineering. A person who, in
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Science degree in Computer Engineering. A person who, in some other way, in the country or abroad, has acquired equivalent qualifications also meets the specific entry requirements. Admission and assessment