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that align with market electricity prices, grid conditions, and user demand patterns. • Apply mathematical programming, machine learning, and AI techniques for optimizing EV charging operations. • Simulate and
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. ➢ Data analysis. ➢ Artificial Intelligence and Machine Learning algorithms. ➢ Forecasting algorithms, digital twin models and control strategies. ➢ Power system simulation tests using hardware-in-the-loop
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sources. ➢ Photovoltaics and energy storage systems. ➢ Data analysis. ➢ Artificial Intelligence and Machine Learning algorithms. ➢ Forecasting algorithms, digital twin models and control strategies. ➢ Power
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thematic areas: Control systems, computational intelligence and machine learning, autonomous systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber
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Proficiency in programming languages (preferably in Python), commonly used in scientific computing and machine learning. Knowledge of AI frameworks (e.g. PyTorch). Ability to work independently and as part of
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» Computer engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Positions Postdoc Positions Country Cyprus Application
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’ Campus. Computational Science and Technology is a well-established research area at CyI, and it includes experts in Machine Learning, Computational Modelling, and High-Performance Computing. The successful
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• Candidates must have a PhD in one of the following or related fields: Landscape archaeology, geosciences (e.g. GIS, topography, geology, environment, etc.), natural sciences, computer sciences and computer
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algorithms, in particular in variational quantum algorithms and/or quantum machine learning Applications to optimization problems and benchmarking of quantum computing hardware Where to apply Website https