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-Performance Computing (HPC), High-Performance Data Analytics (HPDA) or large-scale Machine Learning (ML). The successful candidate will join both the research and engineering teams of the EuroCC2 project
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& Development (R&D) in the areas of High-Performance Computing (HPC), High-Performance Data Analytics (HPDA) or large-scale Machine Learning (ML). The successful candidate will join both the research and
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advanced technologies in Cyprus, with a focus on HPC, HPDA, machine learning, artificial intelligence and computational modeling/simulation. The main aims for EuroCC2 in Cyprus include strengthening
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interdisciplinary research team at the Computation-based Science and Technology Research Centre (CaSToRC). The successful candidate will pursue Research & Development (R&D) in the areas of Machine Learning (ML) and
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including e.g. bus routing or energy networks, large-scale machine learning, and cybersecurity aligning with the missions of the Institute within the context of the Resilience Plan of the government. CyI
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to candidates with demonstrated expertise in simulations across scales and in combining physics-based and machine learning methodologies, with applications to scientific and engineering areas, and with experience
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) Programming Skills: Proficiency in programming languages, such as Python, commonly used in scientific computing and machine learning Image Analysis Knowledge: Solid understanding of image processing and