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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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-viral gene delivery methods. Data Analysis and Interpretation: Rigorously analyze experimental data, interpret results, and present findings to internal research teams and at scientific conferences
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