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- Posting may close at any time) Job Summary We are looking for MS and PhD students with experience and interest in state-of-the-art data management technologies, high performance computing, memory management
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing, social computing, software engineering
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, computer graphics, computer science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing
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parallel processing, distributed computing, and resource management techniques for efficient resource utilization. Resource Allocation: Oversee the allocation of computational resources, ensuring scalability
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programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers
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, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops