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, applying it to data analysis, econometric modelling, machine learning solutions, and the automation of research and data processing; Practical experience in the IT industry, developing, deploying, and
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AI/ML technologies, such as deep learning and neural networks, machine learning and statistical modelling, federated and distributed learning, explainable and trustworthy AI, data engineering
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or multimodal physiological signal analysis; Experience applying machine-learning or advanced statistical methods to biomedical data, preferably in a physiology-informed, hypothesis-driven, or interpretable
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and experimental research in the field of plasmonic nanostructures and related nanosystems, including proficiency in analytical and numerical simulations, as well as machine learning methods; work