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contribute to a new research project on Artificial Intelligence (AI) for mental health. Key Responsibilities: Lead and conduct research on AI-mediated communication in emotional and mental health contexts
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research projects in aquaculture (e.g., health monitoring, yield prediction, system optimization) and/or drug delivery (e.g., predictive modeling, nanocarrier design, therapeutic response analysis). Develop
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integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and
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integrated IoT system development for aquaculture health and stress detection. You will focus on the experimental development and deployment of visual and physiological monitoring systems, supporting
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of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches (e.g., machine learning, Bayesian statistics) and