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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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and efficient data transmission, fault-tolerant communication, and navigational data integrity will also be explored. The ideal candidate has completed a PhD in mathematics, or related fields, with a
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activities within the research center. Your Competencies You have teaching competencies such that you will be able to organize and lecture courses and supervise students at both the department of mathematical
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/ Applicants must have a Master’s degree in computer science or a closely related field such as mathematics or control engineering. Due to the project’s angle, applicants should have a strong background in at
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education and knowledge dissemination. Job description We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from August 1, 2025, or soon thereafter. Who we are At Department of Health Science and Technology (HST) we...
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and
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, Electrical Engineering, Mathematics, Control theory, Cyber-physical systems, or any other related discipline, potentially with skills in Power Electronics. Applicants who are in the final phase
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closely with other members of the AI:EcoNet Lab. Requirements: Master’s degree in computer science, data science, mathematics, statistics, physics, software or relevant fields Strong background in machine