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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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control, mathematical optimization, or data-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python
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, dynamic modelling and control, mathematical optimization, or data-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good
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, system modelling and identification, as well as optimization and control. Your work will focus on developing new methods that integrate first-principles models with data-driven learning, supported by
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renewable energy. You will investigate quantum and hybrid quantum–classical methods for power system analysis and optimization, with emphasis on their practical performance and suitability for real
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competencies We are looking for a candidate with a Master's degree in electrical engineering, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related
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, statistics, and optimization, spanning both theoretical and applied directions. The department aims to expand its activities in applied statistics, including methodological research motivated by real-world