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: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
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of multivariate time series (activity, temperature, AMF data). Applied artificial intelligence: development of robust models for early detection of health anomalies. Field validation: deployment and testing
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