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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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services. The successful candidate will conduct research under multiple Eratosthenes Centre of Excellence projects funded by the European Union, including the flagship Excelsior H2020 Teaming project (https
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, computational intelligence and machine learning, autonomous systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and
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H2020 Teaming project (https://excelsior2020.eu/ ) and the recently commenced MANIFESTO project. ERATOSTHENES CoE is an autonomous Centre of Excellence with Cyprus University of Technology as its sole
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H2020 Teaming project (https://excelsior2020.eu/ ). ERATOSTHENES CoE is an autonomous Centre of Excellence with Cyprus University of Technology as its sole stakeholder, specialising in earth observation
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prototype database of polymorphous materials. Contribute to the development of a Fortran-based HPC code. Implement routines for temperature-dependent optical and transport properties. Optimize workflows
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modelling, designing, optimizing, and experimentally validating new system architectures, as well as contributing to collaborative research activities, preparing project deliverables, assisting with