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Field
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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. You have strong interest in communication networks, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical
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and informatics research within the School of Public Health (SPH), advancing innovative, multidisciplinary approaches to healthcare and public health challenges. Candidates should possess a strong
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required for this post. A PhD is desirable. Additional requirements Additional assets for this position are: experience in machine learning engineering and related tooling; experience with European cloud
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preliminary data. Mentor postgraduate students and research staff in bioinformatics and data science. Publish research findings in high-impact peer-reviewed journals. Qualifications PhD in Bioinformatics
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of contemporary computing, including cybersecurity, distributed systems, cloud and edge computing, software engineering, Internet of Things, computer graphics, and information systems. Key Responsibilities Prepare
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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analytics, software engineering, and security Supervising PhD students Teaching in the Bachelor's and Master's programmes of the Department of Computer Science, either in computer science or artificial
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program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job