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includes, but is not limited to: photonic data processing and communication systems; AI-driven optical signal processing and network optimisation; machine learning for photonic systems modelling, control
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integration in genome-scale metabolic models Computer programming skills Specific Requirements We will appreciate Mathematical modelling skills with programs such as COBRA or CNApy Experience in artificial
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interdisciplinary research group focuses on developing and applying advanced image processing and artificial intelligence (AI) tools to solve challenges in healthcare and biotechnology. Our work spans from AI
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energy integration Energy storage systems and grid flexibility solutions Power flow control and intelligent grid management Hardware-in-the-loop (HIL) simulation of power systems Power grid modelling