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on AI models and their adaptation to affective tasks; development and testing of prompting strategies and parameter-efficient fine-tuning methods, including PEFT/LoRA; improvement and evaluation of model
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experimental sessions, including studies on affective-image ratings and stimulus personalisation; data organisation, quality control, and basic analysis; annotation of stimuli and metadata and support in testing
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